#precipitation — Public Fediverse posts

Study: Estonia’s climate warming 1.5 times faster than global average | News https://www.byteseu.com/2336326/ #ClimateChange #ClimateConditionsForecast #ErkoJakobson #Estonia #Estonia'sClimate #GlobalWarming #MilderWinters #precipitation #Summer #UniversityOfTartu #WeatherForecast #WeatherPatternPredictions

Study: Estonia’s climate warming 1.5 times faster than global average | News

When forecasting climate change, scientists usually opt to determine what the climate will look like at a specific…
#Estonia #EE #Europe #Europa #EU #climatechange #climateconditionsforecast #Eesti #erkojakobson #estonia #estonia'sclimate #globalwarming #milderwinters #precipitation #summer #universityoftartu #Uudised #weatherforecast #weatherpatternpredictions
https://www.europesays.com/3232732/

Precipitation in the Alps in the next 5 days. https://skiweather.eu #precipitation #alpenraum #alps

Precipitation in the Alps in the next 5 days. https://skiweather.eu #precipitation #alpenraum #alps

Precipitation in the Alps in the next 5 days. https://skiweather.eu #precipitation #alpenraum #alps

Precipitation in the Alps in the next 5 days. https://skiweather.eu #precipitation #alpenraum #alps

Mapping Flood Agents In The Northern Pantanal Wetland Using Multiple Spatio-Temporal GIS And Remote Sensing Techniques
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https://doi.org/10.1007/s13157-026-02082-3 <-- shared paper
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H/T @renato Gatto de Morais | Geógrafo | Mestre em Recursos Hídricos | Doutorando em Geografia
“Combining MODIS data, TRMM, river discharge, a digital terrain model, and multinomial logistic regression, [the authors] identified three predominant classes of flood origin: local rainfall, bank overflow, and mixed areas. The model achieved a Nagelkerke Pseudo-R² of 0.63 and a classification accuracy of up to 81.2% (10-fold cross-validation). To the best of [their] knowledge, this is the first explicit approach to mapping flood agents for this wetland, a component that has historically remained unmapped despite its recognized influence on habitats and biodiversity…”
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“The mapping of functional hydrologic units is crucial for enhancing our understanding of flooding and hydroecological processes in large wetlands. These units are typically defined by flooding frequency, duration, and magnitude, but another important hydrologic characteristic is the origin of flooding, known as the flood agent. This study presents an empirical framework utilizing remote sensing and GIS procedures for modeling flood agents in the northern Pantanal wetland. Eleven spatial data layers were derived from multi-year MODIS flood maps, daily rainfall estimates from the TRMM 3B42 grid, in situ discharge data, the BEST Digital Terrain Model, and a hydrographic network layer. These layers were tested for their predictive power in a multinomial logistic regression mapping model. Model performance metrics, along with qualitative validation of mapping outcomes using in situ flooding measurements, and vegetation and soil data from field test sites, support the plausibility of the proposed mapping scheme. However, they also highlight the challenges of flood agent mapping in large tropical wetlands…”
#GIS #spatial #mapping #MODIS #TRMM #riverdischarge #digitalterrainmodel #multinomiallogisticregression #geostatistics #Pantanal #Cuiaba #Brazil #water #hydrology #spatialanalysis #spatiotemporal #remotesensing #earthobservation #flood #flooding #source #type #floodagent #tropical #wetland #habitat #biodiversity #ecosystem #hydrologicunit #hydroecology #model #modeling #rainfall #precipitation #weather #climate #discharge #network #metrics

Spatiotemporal Distribution, Climatic Factors, And Seasonal Precipitation Patterns Characterizing 66 Years Of Widespread Shallow Landslide Events In Piedmont (Northwestern Italy)
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https://doi.org/10.3389/feart.2026.1884300 <-- shared paper
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“Widespread shallow landslide events constitute one of the primary drivers of recurrent societal and economic losses in mountain regions. Although the influence of climate variability on landslide frequency and magnitude has been widely recognized, long-term, event-level analyses linking spatiotemporal landslide patterns to precipitation climatology at the regional scale remain scarce. This study presents a statistical analysis of 128 widespread shallow landslide events recorded in Piedmont, northwestern Italy, over the 66-year period 1960–2025, cross-referenced against the regional precipitation climatology. Events were characterized by season, primary physiographic unit, provincial coverage, and an ordinal magnitude index (scale 1–7) encoding combined spatial extent and estimated landslide count. Results indicate that no statistically significant monotonic trend in event frequency was detected over the study period (mean rate: 1.97 events yr⁻1); however, a moderate positive correlation was established between event magnitude and the number of provinces affected (R2 = 0.51, p < 0.00), validating the magnitude index as a proxy for spatial footprint. Mean event magnitude reached its highest value in the 2010s (3.71), while all five events of magnitude ≥ 6 occurred in autumn. The summer fraction of the catalogue increased markedly, from 6% in the 1960s to 31% in the 2000s and 25% in the 2020s, concurrent with stable or declining summer mean precipitation totals, consistent with Clausius–Clapeyron amplification of convective intensity under documented regional warming. Cross-analysis with regional records identifies three tiers of rainfall–landslide coupling: a stationary direct seasonal coupling; a non-stationary, strengthening intensity-mediated summer coupling; and a structural susceptibility-mediated spatial decoupling whereby the driest provinces generate the highest landslide occurrence frequencies due to the lower triggering thresholds characteristic of Tertiary Piedmont Basin sedimentary environments. A post-hoc assessment of the triggering thresholds used for regional shallow landslide early warning system demonstrates superior detection performance for high-magnitude autumn events (hit rate up to 89% for the 2000–2025 sub-period) and identifies sub-daily convective accumulation windows in summer as the primary domain requiring threshold recalibration…”
#massmovement #landslide #engineeringgeology #Italy #Piedmont #NorthernItaly #weather #rainfall #precipitation #climate #risk #hazard #corrleation #relationship #earlywarningsystems #damage #loss #community #infrastructure #mountain #spatiotemporal #mapping #spatialanalysis #statistics #geostatistics #climatology #regional #scale #weatherpatterns #physiography #geomorphology #water #hydrology #hydrogeomorphology #geology #soils

Widespread Landslide Activity in an Extreme Wet Season and Implications for Regional Sediment Management, Eastern San Francisco Bay Area, California
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https://doi.org/10.1029/2026EA005227 <-- shared paper
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H/T @amy East, Ph.D., P.G. | Researcher integrating geoscience and climate-change preparedness
“[This paper (link above) is] a collaboration with [the H/T’s] colleagues from [the] USGS Landslide Hazards Program, who mapped over 8,900 landslides in the eastern San Francisco Bay Area during an extreme wet winter.
How much sediment does such an extreme winter produce, from landslides or in stream discharge? How does that compare with long-term sediment production and landscape denudation rates?
[They] f[o]nd that landslide sediment mobilization is comparable to long-term denudation rates, emphasizing the role of extreme events in long-term sediment production. However, one extreme wet year has a negligible effect toward counteracting ongoing problems of sediment deficit in San Francisco Bay: to keep pace with sea-level rise, extreme wet conditions would need to occur in 50 out of the next 75 years…”
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"PLAIN LANGUAGE SUMMARY: Watersheds will likely produce more sediment in a warmer future with more extreme rain, primarily through landslides in steep terrain. This study examines how an extremely wet season affected sediment production and transport in the eastern San Francisco Bay area, California. By mapping and measuring 8,928 landslides, [they] found that rare, extreme rain conditions are likely responsible for the vast majority of long-term hillslope erosion rates in this region. However, due to long residence times for sediment on hillslopes and in stream channels, a maximum of 1%–2% of that newly mobilized landslide material could have potentially contributed to sediment carried by streams into the Bay that year. Even extremely wet years cannot provide enough sediment for Bay wetlands and shorelines to keep pace with rising sea levels. To meet the demand for sediment in the Bay, such extreme rain and sediment production would need to occur in most years, which is not realistic. To restore wetlands and protect shorelines, managers likely will need to supplement the coastal system with repurposed dredged material…”
#massmovement #soil #water #hydrology #hydrography #geology #soils #geomorphometry #hydrogeomorphology #geomorphology #landslide #masswasting #climatechange #extremeweather #precipitation #rainfall #weather #climate #mapping #engineeringgeology #mapping #SanFrancisco #BayArea #USA #California #fedscience #fedservice #oublicgood #sediment #stream #discharge #extremewinter #sealevelrise #SLR #hillslope #erosion #sedimentation #tidal #wetlands #coast #coastline #shoreline #GIS #spatial #spatialanalysis #spatiotemporal #watershed
#USGS | #USGSLandslideHazardsProgram

Classification And Conceptualization Of Karst Recharge Processes Through Spectral And Change Point Analysis Of Drip Water Dynamics
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https://doi.org/10.1029/2025WR042816 <-- shared paper
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H/T @ Danyang Sun | UNSW-PhD student
“… [The authors] analysed one year of drip water monitoring data from 46 monitoring sites across six karst regions in southeastern Australia. By integrating fast Fourier analysis, cross-wavelet transform and change point analysis, [they] identified five characteristic recharge behaviours and developed a conceptual framework linking temporal drip dynamics with recharge mechanisms. [They] hope this framework will contribute to a better understanding of recharge heterogeneity in karst systems and support future groundwater research under a changing climate…”
#karst #Australia #water #hydrology #underground #subsurface #recharge #dynamics #spectral #changepoint #cave #dripwater #analysis #spatiotemporal #groundwater #research #climatechange #extremeweather #flow #storage #vadose #epikarst #watertable #aquifer #percolation #rainfall #precipitation #climate #lithology #geology #spatialanalysis

Unraveling The Drivers Of Water Shortage Across Spatial Scales And Sectors In Colorado's West Slope River Basins
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https://doi.org/10.1029/2026EF008137 <-- shared paper
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['sorry' about your Kentucky Bluegrass, almonds, etc... /s]
H/T Sai Veena Sunkara | Postdoctoral Associate
“…Colorado’s West Slope basins provide nearly 70% of the inflows to Lake Powell and are also essential to communities, agriculture, industry, hydropower, and downstream Colorado River users.
To examine the wide range of possible futures, [they] simulated 2.1 million years, defining 20,000 plausible scenarios applying changes to streamflow, snowmelt timing, drought persistence, and agricultural, municipal, and industrial water demand.
A key finding is that there is 𝗻𝗼 𝘀𝗶𝗻𝗴𝗹𝗲 𝗰𝗮𝘂𝘀𝗲 𝗼𝗳 𝗳𝘂𝘁𝘂𝗿𝗲 𝘄𝗮𝘁𝗲𝗿 𝘀𝗵𝗼𝗿𝘁𝗮𝗴𝗲𝘀. The most influential drivers vary by basin, sector, and water user. In some areas, shortages are driven primarily by persistent low-flow conditions or changing snowmelt timing. In others, increasing municipal, industrial, or irrigation demand plays a larger role. This suggests that adaptation strategies must be tailored to specific basins and users rather than relying on a single, system-wide solution. Other major findings are
• West Slope deliveries to Lake Powell could fall more than 50% below the current median baseline
• Storage in major West Slope reservoirs could decline 40–55% below historical medians
These results underscore the need for water-planning approaches that account for deep uncertainty, persistent drought, shifting snowmelt patterns, and sector-specific demand…”
#Colorado #waterallocation #StateMod #USWest #USA #WesternSlope #waterresources #watersecurity #watershortage #drought #snowmelt #rainfall #precipitation #riverbasin #water #hydrography #hydrology #reasons #agriculture #industry #hydropower #streamflow #surfacewater #municipal #irrigation #adaptationstrategies #planning #policy #mitigation #ColoradoRiver #basins #climatechange #extremeweather #populationpressure #waterdemand #waterrights #model #modeling #HiddenMarkovModel #stochastic #projecteddemand #ColoradoRiverBasin #wateruse #spatial #mapping #spatialanalysis #spatiotemporal #strategy

Can Himalayan Crops Help Secure The Future Of Food?
(Exploring how genomic diversity, traditional crops, and regional cooperation can strengthen climate resilience and food security across the Hindu Kush Himalaya [HKH])
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https://substack.com/home/post/p-207443153 <-- shared technical post
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https://openlibrary.substack.com/ <-- shared Substack, “Open Library on Green Economy”
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https://adaptationwithoutborders.org/knowledge-base/adaptation-without-borders/shifting-cooperation-in-the-hindu-kush-himalaya/ <-- shared technical article, “Shifting cooperation in the [HKH]”
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https://www.icimod.org/who-we-are/the-hindu-kush-himalaya/ <-- background on the HKH, International Centre for Integrated Mountain Development (ICIMOD)
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https://doi.org/10.48130/cas-0026-0003 <-- shared paper
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[not at all my technical area - but fascinating, including the spatial component #alldataisspatial]
H/T @jeevan Labh
“As we navigate the intensifying impacts of the 2026 El Niño, the vulnerability of our global food systems require careful evaluation. With this year’s erratic weather patterns driving severe, prolonged droughts in some regions and unseasonal, devastating floods in others, the climate crisis is proving that it is not a distant threat; it is happening right now, in our fields and on our plates.
This crisis is more visible in the Hindu Kush Himalaya (HKH) region. Often called the “water tower of Asia,” this vast mountain range sustains 240 million people across eight countries and provides essential ecosystem services to nearly 2 billion people downstream. When glaciers melt at accelerated rates and monsoons become unpredictable, the narrative often focuses solely on the mountain communities. But the truth is much broader: a disrupted harvest in the high hills of Nepal or Bhutan creates a domino effect. It leads to displaced populations, reduced agricultural output flowing into the Indus, Ganges, and Brahmaputra basins, and ultimately, skyrocketing food prices for families living in the sprawling downstream plains.
The climate crisis respects no borders and recognizes no difference between altitude and sea level. Because this problem affects us all, the solution must protect us all. Fortunately, the means to overcome this challenge are already in our hands, locked within the ancient seeds of the mountains…”
## #GreenEconomy #economy #monoculture #agriculture #farming #crop #cropland #HinduKushHimalaya #himalaya #mountain #HKH #spatial #mapping #elevation #climatechange #foodsecurity #food #extremeweather #weather #ElNiño #drought #rainfall #precipitation #snowmelt #climatecrisis #mountainrange #water #hydrology #ecosystem #glacier #moonsoons #community #harvest #Nepal #Bhutan #watersheds #watersecurity #risk #hazard #waterresources #genes #genomicdiversity #cooperation

Beyond The 100-Year Flood - Probabilistic Flood Hazard Assessment For King And Pierce Counties Under Future Climate Scenarios
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https://doi.org/10.5194/nhess-26-3231-2026 <-- shared #openacess paper
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[part of my old stomping ground as an engineering geologist]
H/T @Kees Nederhoff
“Flood maps are usually built from a single design storm. For King and Pierce Counties in the Pacific Northwest (USA), [the authors] tried the opposite - simulate 82 years of actual coastal and river conditions (plus 18 synthetic years) with SFINCS and let the statistics fall out cell by cell. That took about 5,400 yearly simulations and 194,000 CPU hours on USGS's Hovenweep HPC. Worth it!
The design-event shortcut turns out to hide a real hazard. A deterministic 10-year event underestimated flood depths by up to half a meter compared to the continuous runs.
The bigger surprise [to the authors] was how one-sided the climate signal is. One metre of sea level rise takes King County's expected annual flooded area from 161 --> 787 hectares, almost a factor of five. Changes in storminess over the same horizon barely register. And somewhere between 100 and 150 cm of SLR, land that never floods today starts flooding fast. If you plan adaptation in Puget Sound, that threshold matters more than any single return-period map.
[They] also propose Expected Annual Flooded Area (EAFA) as a probability-weighted alternative to the binary "inside or outside the 100-year zone" label…”
#USGS #supercomputing #Hovenweep #HPC #coast #coastal #PNW #Seattle #PacificNorthwest #risk #hazard #riskmanagement #model #modeling #CFRM #deterministic #probabilistic #climatechange #extremeweather #fedscience #WA #KingCounty #PierceCounty #WashingtonState #USA #flood #flooding #compoundflooding #floodmaps #SFINCS #storm #weather #climate #climatechange #rainfall #precipitation #sealevel #sealevelrise #SLR #100yearflood #floodhazardmapping #returnperiods #pluvial #fluvial #spatialanalysis #spatiotemporal #remotesensing #streamgage #history #historicflooding #projections #predictions
#USGS

Mapping Deforestation Probability And Understanding The Forest Dynamics In Gazipur, Bangladesh
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https://doi.org/10.1016/j.envc.2026.101568 <-- shared paper
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"ABSTRACT: Deforestation is a spiralling environmental catastrophe with impervious results for biodiversity, climate change, and human livelihoods, specifically in tropical regions. Being a tropical country, Bangladesh has experienced approximately 40% loss of its forest cover, at Gazipur since 1930, which contains about 86% of the country's Sal (Shorea robusta) forest, ranging approximately 4,300 hectares per year (2001–2010) to over 19,500 hectares per year (2011–2020), exemplifying an intensification of nearly 353%. The objective of this study is to map deforestation probability at the Gazipur district of Dhaka Division, Bangladesh, by utilising machine learning algorithms along with multi-source geospatial data, with the purpose of identifying high-risk zones and facilitating evidence-based forest governance, land-use development, and prioritizing conservation areas. This study integrated twelve conditioning factors, including biophysical, landscape, and anthropogenic. To identify susceptible zones the study trained and assessed five machine learning algorithms; RF, XGBoost, ANN, NB, and MLP and validating the result through different metrics like sensitivity, specificity, precision, accuracy, F1-score, AUC. The performance of the models was evaluated using Wilcoxon signed-rank tests and marginal response curves (MRC) were used to understand factor contributions. In the result, RF achieved highest performance with accuracy of 84% and AUC of 0.93, followed by XGBoost at 83% accuracy and 0.92 AUC. Rainfall and population density were most dominant conditioning factors among models. Pairwise statistical testing resulted that ensemble-based algorithms (RF, XGBoost) generated statistically comparable and significantly higher predictions compared to NB and MLP. Spatial probability maps indicate areas of high and very high risk in the south-western and north-eastern upazilas. The results can be applicable for forest management authorities, urban planners, and policymakers, and correspond with SDG Indicator 15. An inclusive governance framework containing land zoning, ecological area identification, and compliance with industrial EIA is proposed to persuade probability maps into adaptive forest management strategies…”
#deforestation #probability #machinelearning #algorithms #AI #Gazipur #Bangladesh #GIS #spatial #mapping #spatialanalysis #spatiotemporal #rainfall #precipitation #humanimpacts #populationpressure #risk #prediction #RandomForest #conservation #restoration #environment #biodiversity, #climatechange #human #livelihood #tropical #forestcover #sal #forest #vegetation #tree #upazila #spatialprobability #geostatistics #forestmanagement #planning #policy #urbanplanners #governance #zoning #ecology #habitat

A Century Of Landslide Records In Calabria, Southern Italy, Looking For Changes And Trends Through A Dynamic Analysis
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https://doi.org/10.5194/nhess-26-3077-2026 <-- shared paper / brief communication
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https://doi.org/10.5194/nhess-15-2313-2015 <-- shared 2015 paper that this communication updates/adds-to
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https://doi.org/10.1007/s12665-023-10844-z <-- shared paper
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H/T @StefanoLuigiGariano
“This study updates an article published in NHESS journal in 2015 [link above] and investigates long-term changes in landslide-triggering rainfall conditions in Calabria (southern Italy) over 1921–2020. A catalogue of 3,006 rainfall events associated with landslides (RELs) was reconstructed using 9,530 landslide records and daily rainfall measurements from 318 gauges. Rainfall thresholds were calculated for 15 30-year moving windows to investigate the triggering conditions of the RELs. Results show a marked increase in the number of RELs after 2009, shifts in seasonal occurrence, and decreasing rainfall duration and cumulative amounts. Triggering rainfall shows an overall decreasing trend over the years…”
#Calabria #Italy #massmovement #records #landslides #geology #engineeringgeology #spatiotemporal #spatialanalysis #rainfall #precipitation #extremeweather #trigger #monitoring

Comparative Hydro-Climatic Datasets For Catchment-Wise Linked Water Fluxes And Storage Changes Across South America
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https://doi.org/10.3389/fenvs.2026.1764771 <-- shared paper
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https://doi.org/10.1038/s43247-026-03661-2 <-- shared paper
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https://doi.org/10.1002/joc.6443 <-- shared paper
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https://www.pik-potsdam.de/en/news/latest-news/from-droughts-to-floods-climate-change-and-migration-in-peru | https://publications.iom.int/books/evaluacion-de-la-evidencia-cambio-climatico-y-migracion-en-el-peru <-- shared 2021 Peru hydroclimate technical article | report
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https://youtu.be/Ngbm0gsmYAw?si=haqV7t15pGkEmJB8 <-- shared overview video
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#water #GIS #spatial #mappping #spatialanalysis #spatiotemporal #remotesensing #earthobservation #Hydrology #Hydroclimatology #ClimateChange #extremeweather #WaterResources #WaterSecurity uncertainity #SouthAmerica #ClimateData #PeerReview #OpenScience #Hydrometeorology #opendata #datasets #rainfall #precipitation #fluvial #heatwave #temperature #changing #consistency #flood #flooding #drought #riskmanagement #risk #hazard #earthsystems #resilience #waterquality #waterpollution #model #modeling #monitoring #records #hydroclimate #hydrogeomorphology #review #SouthAmerica #planning #policy #sustainability #evapotranspiration #runoff #waterstorage #SAHCD

Compound Hydrogeomorphic Cascades And Rapid Upstream To Downstream Hazard Coupling In The Eastern Himalaya
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https://doi.org/10.1038/s41598-026-52915-8 <-- shared paper
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https://doi.org/10.5194/esurf-13-1281-2025 <-- shared paper
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https://doi.org/10.1007/s11069-025-07766-3 <-- shared paper
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[I recognise that the photo is instead for the floods, etc in Lubra, Nepal - but felt it better showed the hydrogeomorphical setting (sic) for the 'casual' post viewer...]
H/T @Kuldeep Dutta
“In hilly regions transitioning rapidly to low gradient alluvial plains, localized hydrometeorological triggers can instantly scale into devastating basin wide disasters. This study dissects the September 2020 cascading hazard in parts of the Arunachal Pradesh-Assam corridor to quantify the rapid coupling between upstream hillslopes and downstream floodplains…”
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“Extreme precipitation in the Eastern Himalaya is increasingly associated with coupled hillslope-floodplain hazards. This study examines the 17th-18th September 2020 rainfall event in Arunachal Pradesh initiating landslides and its downstream impacts in Assam, India, using multi-sensor satellite data and long-term rainfall records. Sentinel-2 imagery was used to map landslides and debris flows, Sentinel-1 SAR data to delineate flood extent, and IMD gridded rainfall (1996–2020) to analyse rainfall spell characteristics. The event triggered widespread slope failures, localized landslide damming, and a subsequent breach, generating sediment-laden flows that inundated ~ 100 km2 of the Dhemaji floodplain. A backscatter-derived Relative Flood Volume Index (RFVI) indicates spatial variability in inundation intensity, although it does not represent absolute flood volume. Rainfall analysis suggests that antecedent wetness from preceding spells preconditioned slopes, while peak daily rainfall (> 170 mm/day/) initiated landsliding. Power-law scaling shows negligible dependence of intensity on duration (R² ≈ 0.0004), whereas cumulative rainfall exhibits a stronger relationship with duration (R² ≈ 0.54). These results indicate distinct roles of rainfall intensity and accumulation in controlling landslide initiation and downstream flooding, respectively, highlighting the importance of compound rainfall forcing in rapid hydrogeomorphic cascades...”
#EarthScience #RemoteSensing #Himalayas #NaturalHazards #ClimateChange #ScientificReports #GeospatialAnalysis #DisasterMitigation #Landslide #Flooding #alluvial #fluvial #water #hydrology #hydrography #flood #flooding #spatialanalysis #spatiotemporal #mountain #plain #hydrometeorological #hydrogeomorphology #ArunachalPradesh #Assam #India #hillslope #floodplain #rainfall #precipitation #extremeweather #engineeringgeology #massmovement #landslide #debrisflow #risk #hazard #monitoring #GIS #spatial #mapping #remotesensing #satellite #Sentinel #sedimentation #humanimpacts #infrastructure #damage #cost #economics #public #safety #model #modeling #downstream

[G]lobal Decline In Endorheic Basin Water Storages
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https://doi.org/10.1038/s41561-018-0265-7 <-- shared paper
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https://en.wikipedia.org/wiki/Endorheic_basin <-- shared Wikipedia page
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“Endorheic (hydrologically landlocked) basins spatially concur with arid/semi-arid climates. Given limited precipitation but high potential evaporation, their water storage is vulnerable to subtle flux perturbations, which are exacerbated by global warming and human activities. Increasing regional evidence suggests a probably recent net decline in endorheic water storage, but this remains unquantified at a global scale. By integrating satellite observations and hydrological modelling, [they] reveal[ed] that during 2002–2016 the global endorheic system experienced a widespread water loss of about 106.3 Gt/yr, attributed to comparable losses in surface water, soil moisture and groundwater. This decadal decline, disparate from water storage fluctuations in exorheic basins, appears less sensitive to El Niño–Southern Oscillation-driven climate variability, which implies a possible response to longer-term climate conditions and human water management. In the mass-conserved hydrosphere, such an endorheic water loss not only exacerbates local water stress, but also imposes excess water on exorheic basins, leading to a potential sea level rise that matches the contribution of nearly half of the land glacier retreat (excluding Greenland and Antarctica). Given these dual ramifications, [they] suggest the necessity for long-term monitoring of water storage variation in the global endorheic system and the inclusion of its net contribution to future sea level budgeting…”
#water #hydrology #hydrography #global #waterresources #waterstorage #Endorheic #Basin #watersecurity #arid #semiarid #rainfall #precipitation #spatialanalysis #spatiotemporal #globalwarming #climatechange #humanimpacts #anthropogenic #regional #remotesensing #GIS #spatial #mapping #earthobservation #surfacewater #groundwater #soilmoisture #exorheic #watermanagement #hydrosphere #waterstress #SLR #sealevelrise #monitoring #waterbudgets

Decoupling Of Surface Water Storage From Precipitation In Global Drylands Due To Anthropogenic Activity
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https://doi.org/10.1038/s44221-024-00367-7 <-- shared paper
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“The availability of surface water in global drylands is essential for both human society and ecosystems. However, the long-term drivers of change in surface water storage, particularly those related to anthropogenic activities, remain unclear. Here [they] use[d] multi-mission remote sensing data to construct monthly time series of water storage changes from 1985 to 2020 for 105,400 lakes and reservoirs in global drylands. An increase of 2.20 km³ per year in surface water storage is found primarily due to the construction of new reservoirs. For lakes and old reservoirs (constructed before 1983), conversely, the trend in storage is minor when aggregated globally, but they dominate surface water storage trends in 91% of individual global dryland basins. Further analysis reveals that long-term storage changes in these water bodies are primarily linked to anthropogenic factors - including human-induced warming and water-management practices - rather than to precipitation changes, as previously thought. These findings reveal a decoupling of surface water storage from precipitation in global drylands, raising concerns about societal and ecosystem sustainability…”
#water #hydrology #hydrography #waterstorage #waterresources #surfacewater #global #drylands #precipitation #rainfall #watersecurity #ecosystems #habitat #publichealth #anthropogenic #GIS #spatial #mapping #remotesensing #earthobservation #spatiotemporal #spatialanalysis #monitoring #geostatistics #engineering #reservoirs #infrastructure #lakes #waterbodies #globalwarming #climatechange #sustainability #planning #baseline

On The Use Of Rainfall Time Series For Regional Landslide Prediction By Means Of Functional Regression
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https://doi.org/10.1016/j.enggeo.2026.108860 <-- shared paper
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#rainfallinduced #landslide #Functionalregression #Japan #Earlywarningsystem #Spacetimeprediction #spatialanalysis #spatiotemporal #massmovement #engineeringgeology #geomorphology #hydrogeomorphology #geomorphometry #remotesensing #geostatistics #model #modeling #mechanics #rainfall #threshold #precipitation #water #hydrology #risk #hazard #hazardassessment #terrain #landscape #landform #landuse #geology #soil #lithology #functionalGeneralizedAdditiveModel #FGAM #prediction #casestudy #AI #LLM

Climatology And Trends Of Annual Maximum Sub-Daily Precipitation In The Western United States
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https://doi.org/10.1016/j.wace.2026.100915 <-- shared paper
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#USWest #western #usa #rainfall #climatology #spatialanalysis #spatiotemporal #spatial #mapping #precipitation #risk #hazard #flood #flooding #soil #slopes #debrisflow #saturated #monitoring #climatechange #extremeweather #monsoon #intensity #California #publicsafety #infrastructure #flashflooding #massmovement #landslides #engineeringgeology #hydrogeomorpholgy #mudslide #topography #elevation #geomorphmetry #extremerainfall #seasonal #thermodynamic

Multidecadal Reconstruction Of Terrestrial Water Storage Changes By Combining Pre-GRACE Satellite Observations And Climate Data
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https://doi.org/10.5194/essd-18-1747-2026 <-- shared paper
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https://doi.org/10.5281/zenodo.15827789 <-- reconstructed fields and corresponding uncertainty datasets
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https://doi.org/10.5281/zenodo.16643628 <-- corresponding time series datasets
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#GIS #spatial #mapping #remotesensing #earthobservation #GRACE #GRACEFO #water #hydrology #hydrography #waterresources #waterstorage #planning #monitoring #spatialanalysis #spatiotemporal #climatemodel #climatechange #extremeweather #regression #AI #machinelearning #rainfall #precipitation #remperatures #parameters #gravity #geodetic #satellite #orbitography #geomorphometry #DORIS #global #reconstruction #limitations #usecase

Water Velocity And Discharge From Tidal Freshwater Creeks In Forested And Herbaceous Wetlands
--
https://doi.org/10.1007/s12237-026-01690-w <-- shared paper
--
#water #hydrology #tide #tidal #ecosystem #wildlife #fish #fisheries #nursery #nutrients #trophicenergy #discharge #ColumbiaRiver #Oregon #Washington #USA #fluvial #tidalfreshwater #TFW #habitat #restoration #flowregime # herbaceous #forested #wetland #marsh #aquatic #sediment #sedimentation #estuary #inundation #monitoring #measurement #velocity #discharge #volume #spatialanalysis #spatiotemporal #river #riverine #hydraulic #pluvial #precipitation #upstream #subtidal #wavelet #tidalcreek #AcousticDopplerCurrentProfiler #instrumentation #elevation #spatial #mapping

Integrated Data-Driven Multi-Criteria Analysis and Machine Learning Approaches for Assessment of Flood Susceptibility Mapping
--
https://doi.org/10.3390/w18070844 <-- shared paper
--
https://youtu.be/N7nyU1cMg5k?si=8WuXIaz4-JKPdCE0 <-- shared video, Mohmand Dam flooding
---
#FloodSusceptibility #FloodMapping #MachineLearning #GIS #RemoteSensing #Hydrology #Water #EnvironmentalResearch #AHP #FAHP #climatechange #extremeweather #GoogleEarthEngine #GIS #spatial #mapping #AI #model #modeling #MohmandDam #SwatRiver #Pakistan #machinelearning #AI #criteria #parameters #indices #rainfall #precipitation #LULC #soiltexture #planning #policy #water #hydrology #hydrography #riskmanagement #risk #hazard #flood #flooding #mitigation #watershed #watermanagement #resilence

Remote Sensing And GIS-Supported Framework Of Pre-Monsoon Drought Assessment In Bangladesh (2000–2022) Using CHIRPS-Based SPI-3 And MODIS-Derived Vegetation And Temperature Indices
--
https://doi.org/10.1007/s12665-026-12848-x <-- shared paper
--
H/T MD. ABDULLAH AL MAMUNM | Studying PhD in Rural and Environmental Sciences
“১ বছর ২০ দিন লেগে গেল! প্রথম ৪ জন রিভিউয়ারের প্রায় ৫০+ কমেন্টের পর মনে হয়েছিল আর এগোব না। তবে আমার সুপারভাইজার বলেছিলেন, “রিজেকশনের চেয়ে কমেন্ট ফেস করা ভালো।”
--
#GIS #spatial #mapping #remotesensing #Bangladesh #earthobservation #water #hydrology #premoonsoon #moonsoon #drought #CHIRPS #MODIS #SPI #vegetation #temperature #indices #parameters #SPI #NDVI #VCI #TCI #VHI #monitoring #droughts #agriculture #farming #crop #cultivation #yield #foodsecurity #weather #rainfall #precipitation #Pearsoncorrelation #geostatistics #irrigation #watersecurity #foodsecurity #policy #planning

Detecting Land Use And Land Cover Changes And Quantifying Soil Erosion And Sediment Export Using GIS And Remote Sensing In The GERD Catchment, Ethiopia
--
https://doi.org/10.1016/j.iswcr.2026.100657 <-- shared paper
--
https://infonile.org/en/2023/05/battling-for-survival-along-the-warming-source-of-the-blue-nile/ <-- shared technical media article
--
https://doi.org/10.1007/978-3-031-65241-7_4 <-- shared technical book chapter
--
https://doi.org/10.3390/rs8121020 <-- shared 2016 paper
--
#landuse #landcover #RUSLE #model #soil #erosion #sedimentation #GERD #catchment #NorthAfrica #Ethiopia #AbbayBasin #sustainability #landmanagement #agriculture #farmland #foodsecurity #water #hydrogology #reservior #watermanagement #watersecurity #waterresources #catchment #GrandEthiopianRenaissanceDam #BlueNile #hydrography #impoundment #GIS #spatial #mapping #remotesensing #earthobservation #thematic #spatialanalysis #spatiotemporal #landsat #elevation #DEM #CHIRPS #rainfall #precipitation #LULC #AI #forest #grazing #grassland #field #crops #cropland #waterbodies #urban #biophysical #risk #hazard #mitigation #soilquality

Karst Flash Floods - An Example From The Dinaric Karst (Croatia)
--
https://doi.org/10.5194/nhess-6-195-2006 <-- shared (older) paper
--
#flood #flooding #pluvial #fluvial #subsurface #risk #hazard #naturalhazard #disaster #flashflood #infrastructure #damage #building #destabilisation #foundations #karstburst #Marina #Dinaric #Croatia #extremeweather #climatechange #intense #prolonged #rainfall #precipitation #speed #fast #caves #conduits #fractures #aquifers #water #hydrology #groundwater #hydrogeology #waterpressure #sinkhole #subsidence #massmovement #landslide #monitoring #mapping #geology #engineeringgeology #hydroseismic #humanimpacts #lossoflife #death #karstterrain #springs #debris #sediment #cavities #riskassessment #Grazalema #Andalusia #Cadíz #Spain #StormLeonard #emergencymanagement #planning

Detection And Spatial Modelling Of Trends In UK Rainfall Frequency
--
https://doi.org/10.1080/02626667.2026.2622458 <-- shared paper
--
#GIS #spatial #mapping #extremeweather #rainfall #pluvial #frequency #trends #nonstationarity #extremevalue #model #modeling #monitoring #UnitedKingdom #UK #Britian #England #Scotland #Wales #precipitation #spatialanalysis #spatiotemporal #drainage #monitoring #planning #resilience #naturalhazards #flooding #flood #water #hydrology # #sewerage #sewage #wastewater #waterways #pollution #spills #releases #stormwater #erosion #massmovement #landslides #engineeringgeology #risk #hazard #climatic #covariates #raingauges #maximums #duration #winter #NorthernEngland #NorthAtlanticOscillation #NAO #index #metrics #annualmaximum #AMAX #seasonalmaximum #SMAX #peaksoverthreshold #POT #statistics #geostatistics #MetOffice #weather #climate

Fatal Debris Avalanche On An Anthropogenically Disturbed, Earthquake-Perturbed Slope During Antecedent Rainfall [Turkey]
--
https://doi.org/10.1007/s10346-026-02713-0 <-- shared paper
--
https://eos.org/thelandslideblog/gungoren-hillslope-1 <-- shared technical article
--
https://geohazard.itu.edu.tr/en/news-detail/2025/01/23/could-the-g%C3%BCng%C3%B6ren-arhavi-%28artvin%29-landslide-be-predicted <-- shared technical article
--
https://zenodo.org/records/14625940 <-- shared technical article/paper
--
#rainfall #precipitation #pluvial #massmovement #monitoring #Turkey #Türkiye #Güngören #Artvin #remotesensing #earthobservation #GIS #spatial #mapping #LiDAR #UAV #InSAR #radar #spatialanalysis #spatiotemporal #massmovement #risk #hazard #geology #landslide #engineeringgeology #anthropogenic #humnacimpacts #manmade #quarry #highway #stability #earthquake #trigger #slopestability #naturalhazard #disaster #debrisflow #fatal #lossoflife #publicsafety #fieldwork #model #failure #geomorphology #kinematic #geomorphometry #creeping #extremeweather #multiple #recurrence #progressive #groundmotion #susceptibility

Comparing Flood Inundation Map Features and Diagnosing Decision Support Design Challenges
--
https://doi.org/10.1002/hyp.70362 <-- shared paper
--
#GIS #spatial #mapping #climatechange #extremeweather #pluvial #fluvial #water #surfacewater #precipitation #flood #flooding #floodinnundation #innundation #NOAA #FIM #floodinnundationmaps #model #modeling #spatialanalysis #spatiotemporal #floodresponse #response #naturalhazard #monitoring #forecasting #forecast #visualisation #FIMAN #remotesensing #Copernicus #impactassessment #research #emergencymanagement #humanimpact #safety #publicsafety #risk #hazard #infrastructure #FloodMapper #floodwatch #flashflood
@FEMA | @NOAA | @USGS |

Changes In Dominant Streamflow Drivers As Network-Scale Flow Regime Shifts From Intermittent To Ephemeral Across A Multi-Year Drought
--
https://doi.org/10.1002/hyp.70413 <-- shared paper
--
#GIS #spatial #mapping #water #hydrology #fluvial #pluvial #precipitation #extremeweather #California #USA #semiarid #watershed #headwaters #weather #metrology #spatialanalysis #spatiotemporal #model #modeling #geostatistics #monitoring #sensors #instrumentation #insitu #drought #streamflow #ephemeral #intermittent #catchments #waterresources #watermanagement #watersecurity #planning
#coast #coastal #hydrogeomorphic #geology #climate

Joyce Block: Gardening through Texas weather whiplash | Farmandranch https://www.allforgardening.com/1572941/joyce-block-gardening-through-texas-weather-whiplash-farmandranch/ #botany #dill #EarthSciences #frost #garden #gardening #Herb #Onion #PhysicalGeography #plant #precipitation #rain #Vegetable #water

9.3% Of Earth’s Land Flagged In New Outbreak Risk Map
--
https://www.earth.com/news/93-of-earths-land-flagged-in-new-outbreak-risk-map-pr25/ <-- shared technical article
--
https://doi.org/10.1126/sciadv.adw6363 <-- shared paper
--
#GIS #spatial #mapping #global #outbreak #risk #hazard #publichealth #publicsafety #death #AI #machinelearning #remotesensing #earthobservation #epidemic #pandemic #disease #environment #cost #highrisk #mediumrisk #zoonotic #zoonoticdisease #climate #climatechange #temperature #extremeweather #pluvial #rainfall #precipitation #water #hydrology #drought #landuse #changes #deforestation #population #demographics #livestock #biodiversity #mitigation #planning #response #monitoring
@EUCommission | @WHO

Multi-Disciplinary Reconstruction Of Debris Flow Events And Dynamics In The Northern Apennines, Italy - A Multiscale Approach Linking Ground Evidence With Climatic Triggers
--
https://doi.org/10.1016/j.catena.2025.109708 <-- shared paper
--
#GIS #spatial #mapping #engineeringgeology #massmovement #geology #landslide #debrisflow #multidisciplinary #geomorphology #pluvial #precipitation #dendrogeomorphological #treerings #dendrochronology #dating #chronology #reconstruction #geomorphmetry #processmodel #flowchart #spatialanalysis #spatiotemporal #mountains #orthophotos #historicphotos #geopedology #soil #hydraulic #alpedisucciso #trees #vegatation #downslope #risk #hazard #assessment #remotesensing #water #hydrology #rainfall #records #NorthernApennines #susceptibility #Italy

Master Gardener: The good and bad of snow in your garden | Lifestyles https://www.allforgardening.com/1546639/master-gardener-the-good-and-bad-of-snow-in-your-garden-lifestyles/ #AppliedAndInterdisciplinaryPhysics #clouds #EarthPhenomena #EarthSciences #FogAndPrecipitation #FormsOfWater #frost #garden #gardener #gardening #hail #ice #IceCrystal #MeteorologicalPhenomena #meteorology #nature #PhysicalGeography #precipitation #snow #snowflake #tree #WaterIce #WilsonBentley #WinterPhenomena

Rapid Mass Movements Triggered By An Atmospheric River In Disko Island, West Greenland
--
https://doi.org/10.1002/esp.70201 <-- shared paper, 2023 event(s)
--
https://doi.org/10.1007/s10346-022-01922-7 <-- shared paper, 2021 event(s)
--
https://www.polarresearch.at/the-great-landslide-of-assapaat/ <-- shared technical article
--
#landslide #massmovement #thawing #permafrost #extremewweather #cryosphere #Qeqertarsuaq #ArcticDEM #DiskoIsland #Greenland #ERA5 #CARRA #fluvial #pluvial #precipitation #rainfall #snow #ice #glacier #glacial #temperature #slushflow #GIS #spatial #mapping #geomorphology #elevation #slope #atmosphericriver #climate #weather #snowmelt #island #coast #coastal #damage #humanimpacts #infrastructure #arctic #monitoring #geohazard #risk #hazard #engineeringgeology #polar #change #remotesensing #spatialanalysis #spatiotemporal #earthobservation #debrisflow #remoteareas
#GreenlandEcosystemMonitoring | @europeanspaceagency | #CopernicusECMWF #Copernicus

The Rise Of Community-Led Landslide Monitoring
Could an innovative natural-disaster monitoring system in Alaska be a model for the rest of the country?
--
https://seaklandslideworkinggroup.substack.com/p/article-in-sierra-about-southeast <-- shared technical #Substack
--
#communitybased #landslidemonitoring #NationalLandslidePreparednessAct #massmovement #engineeringgeology #risk #hazard #landslide #publicsafety #monitoring #Sitka #Alaska #debrisflow #risk #hazard #water #hydrology #pluvial #fluvial #rainfall #precipitation #AK #extremeweather #climatechange #atmosphericriver #coast #coastal #slope #steepness #Haines #Ketchikan #Wrangell #Juneau #propertydamage #cost #economics #soilmositure #sensors #raingauge #Skagway #emergencymanagement #forecasting #tool #online #dashboard #situationalawareness #NSF #grant #infrastructure #threshold #historic #analysis #geomorphology #geomorphometry #communication #buddysystem #risktolerance #SitkaTribeofAlaska
#NationalScienceFoundation #USFS

Four [US] States Leading the Way on Flood Resilience
--
From Iowa's pioneering flood-monitoring network to North Carolina's comprehensive resilience blueprint, states are demonstrating what's possible when local leaders take ownership of their climate futures.
--
https://www.epicenterinsights.com/four-states-leading-the-way-on-flood-resilience/ <-- shared technical media article
--
https://floodplainsbydesign.org/ <-- shared Floodplains By Design, Washington State
--
#water #hydrology #floodplainsbydesign #FBD #flood #flooding #floodplains #natural #risk #hazard #naturalhazard #publicsafety #cost #economics #infrastructure #mitigation #resilience #extremeweather #rainfall #surge #precipitation #hydrospatial #Iowa #NorthCarolina #Wisconsin, #Washington #WashingtonState #policy #planning #spatialanalysis #floodresilience #program # readiness #public #private #regulations #USStates #USA #monitoring #blueprint

Landsliding Follows Signatures Of Wildfire History And Vegetation Regrowth In A Steep Coastal Shrubland
--
https://www.linkedin.com/posts/tmatthew_the-geoscience-community-is-finding-more-activity-7365791741355950080-VzES <-- shared LinkedIn post
--
https://pubs.geoscienceworld.org/gsa/geosphere/article/doi/10.1130/GES02856.1/660392/Landsliding-follows-signatures-of-wildfire-history <-- shared paper
---
#GIS #spatial #mapping #massmovement #debrisflow #debrisslide #California #USA #climatechange #extremeweather #fire #engineeringgeology #risk #hazard #geoscience #water #hydrology #rainfall #precipitation #wildfire #postwildfire #landslide #vegetation #cover #type #causality #coast #coastal #shrubland #model #modeling #atmosphericriver #storm #geomorphology #geomorphometry #SantaYnezMountains #imagery #remotesensing #delineation #downslope #sediment #damage #cost #economics #infrastructure #geology #regrowth #postfire
U.S. Geological Survey (USGS) USDA Forest Service California Geological Survey

Forests And Cycles Of Agrarian Sustenance - Time-To-Event Analysis Of Ecosystem Provisioning Services And Seasonal Food Insecurity [Sub-Saharan Africa]
--
https://doi.org/10.1080/26395916.2025.2484490 <-- shared paper
--
#GIS #spatial #mapping #Ghana #MoleNationalPark #Larabanga #Kananto #Kabampe #Grupe #Jang #ecosystem #savanna #Africa #SubSaharanAfrica #food #farming #agriculture #foodsecurity #water #hydrology #weather #climate #watersecurity #rainfall #precipitation #forest #Agrarian #services #seasonal #foodinsecurity #risk #hazard #vegetation #rights #humanrights #forestmanagement #commonland #enclosures #agronomic #stewardship #spatiotemporal #spatialanalysis #income #cost #economics #planning #policy #governance #community

Advancing Compound Flood Modeling to Evaluate Coastal Protection Benefits of Natural Infrastructure
--
https://coastalscience.noaa.gov/news/advancing-compound-flood-modeling-to-evaluate-coastal-protection-benefits-of-natural-infrastructure/ <-- shared technical article
--
https://doi.org/10.1016/j.scitotenv.2024.173529 <-- shared paper
--
#flood #flooding #literaturesearch #compilation #coast #coastal #coastalengineering #mitigation #planning #management #framework #model #modeling #infrastructure #natural #barrier #rainfall #precipitation #climatechange #river #discharge #stormsurge #sealevel #seallevelrise #waves #tides #compoundflooding #humanimpacts #communities #publicsafety #cost #loss #economics #fedscience #fedservice #hydrology #water #marine #ocean #hydraulic #hydrodynamic #biology #ecosystems #vegetation #sedimentation #erosion #GIS #spatial #mapping #spatialanalysis #regional #local #forecasting #preparation #enduser #usecase #publicwarnings #marsh #sawmp #mangrove
@NOAA | @NOAA Ocean | @NOAA Centers for Coastal Ocean Science

Vulnerability Of California Roadways To Post-Wildfire Debris Flows
--
https://doi.org/10.1088/2634-4505/acb3f5 <-- shared paper
--
#GIS #spatial #mapping #California #geology #engineeringgeology #geomorphology #risk #hazard #water #hydrology #massmovement #landslide #debrisflow #roadway #road #highway #CalTrans #infrastructure #cost #damage #economics #fire #wildfire #postwildfire #transportation #watersheds #climatechange #extremeweather #rainfall #precipitation #naturalhazards #vegetation #spatialanalysis #vulnerability #assessment #soil

California Storms Recharged Watersheds, Geodesy Data Reveal
--
https://eos.org/articles/california-storms-recharged-watersheds-geodesy-data-reveal <-- shared technical article
--
https://doi.org/10.1029/2023GL107721 <-- shared paper
--
#GIS #spatial #mapping #remotesensing #GPS #GNSS #water #recharge #hydrology #geodesy #meteorology #data #atmosphericriver #climatechange #extremeweather #storms #rainfall #precipitation #watersheds #drought #groundwater #reservoir #snowpack #waterresources #model #modeling #spatialanalysis #spatiotemporal #ground #changes #waterstorage #management #hydrogeodesy #interdisciplinary #gravity #shape #Earth #risk #hazard #ecosystems #naturaldisasters #California #USA

Linking Inca Terraces With Landslide Occurrence In The Ticsani Valley, Peru
--
https://doi.org/10.3390/geosciences14110315 <-- shared paper
--
[takes me back to my engineering geology days in the Southern Hemisphere, including my thesis – with a healthy dose of spatial analysis and modeling – and all with a specific use; what is not to like?]
#GIS #spatial #mapping #landslides #massmovement #Inca #Andes #irrigation #terraces #Peru #SouthAmerica #confusionmatrix #logisticregression #geohazards #spatialanalysis #spatiotemporal #terracing #water #hydrology #surfaceflow #geomechanical #geotechnical #Ticsani #algorithm #processes #geostatistics #river #slope #agriculture #farming #soils #geology #risk #hazard #publicsafety #fem #model #modeling #rainfall #precipitation #permeability #groundwater #subsurfaceflow #instability #fluvial #erosion

Fiber-Optic Seismic Sensing Of Vadose Zone Soil Moisture Dynamics
--
https://doi.org/10.1038/s41467-024-50690-6 <-- shared paper
--
[broadly, a 'seismic' listening technique could help researchers map water movement, moisture levels in soil, with these researchers at Caltech have figured out a way to use vibrations from passing cars to see how much water sits directly beneath the ground’s surface…]
#GIS #spatial #mapping #remotesensing #array #survey #soil #regolith #seismic #water #hydrology #waterresources #watersecurity #subsurface #vadose #vadosezone #soilmoisture #moisture #weather #precipitation #rainfall #surfacewater #groundwater #ecology #agriculture #ecosystems #spatiotemporal #model #modeling #spatialanalysis #fiberoptics #fibreoptics #evapotranspiration #insitu #climatechange #drought #extremeweather #watermanagement #semiarid #geophysics

Flood Susceptibility Mapping Of Kathmandu Metropolitan City Using GIS-Based Multi-Criteria Decision Analysis
--
https://doi.org/10.1016/j.ecolind.2023.110653 <-- shared paper
--
#GIS #spatial #mapping #analyticalhierarchyprocess #floodhazardcriteria #floodpotentialzone #localadministrativeunit #Nepal #spatialanalysis #spatiotemporal #model #modeling #processmodeling #water #hydrology #flood #flooding #Kathmandu #distance #proximity #river #climatechange #extremeweather #precipitation #rainfall #monsoon #builtenvironments #impervious #impervioussurfaces #concrete #stormwater #drainage #economics #environment #infrastructure #damage #ecology #floodinnundation #urbanplanning #criteria #slope #elevation #drainagedensity #rainfall #landuse #landcover #distancefromriver #distance #topography #elevation #floodsusceptibility #floodprone #risk #hazard #mitigation #budgets #costs #policymakers

How Freeing Rivers Can Help California Ease Flood Risks And Revive Ecosystems
--
https://www.latimes.com/environment/story/2024-02-20/california-floodplain-restoration <-- shared media article
--
#GIS #spatial #mapping #hydrology #water #california #centralvalley #rivers #floodplains #naturalsystems #flood #flooding #levees #engineering #engineeredstructures #soil #fertility #diosriosranch #modesto #treeplanting #trees #vegetation #habitat #habitatrestoration #ecosystems #ecosystemrestoration #runoff #infiltration #naturalsystems #storms #extremeweather #climatechange #rain #rainfall #precipitation #droughts #waterresources

Satellite Images Show 'Firehose' Atmospheric River Aimed At California
--
https://www.newsweek.com/satellite-images-atmospheric-river-firehose-1871910 <-- shared media article
--
https://twitter.com/CIRA_CSU/status/1759997250355314728 <-- CIRA post on Twitter
--
#GIS #spatial #mapping #extremeweather #California #USA #climatechange #atmosphericriver #precipitation #rainfall #tropicalmoisture #climate #weather #remotesensing #imagery #satellite #animation #risk #hazard #naturalhazard #flood #flooding #extremerainfall
@CIRA_CSU @ColoradoStateU

Draft Update To The Climate Change Considerations Chapter In Australian Rainfall And Runoff - A Guide To Flood Estimation [Australia]
--
https://consult.dcceew.gov.au/draft-updates-to-the-climate-change-considerations-chapter-in-arrg <-- shared technical article
--
[especially pertinent with Northern Queensland’s recent and indeed ongoing flooding after some ‘extreme weather’]
#GIS #spatial #mapping #model #modeling #Australia #climatechange #extremeweather #flood #flooding #loss #damage #risk #hazard #mitigation #prediction #ARR #rainfall #precipitation #engineering #floodrisk #floodprotection #floodmitigation #floodprevention #runoff #floodestimation #planning #engineers #policy #engineersaustralia #DCCEEW #economics #economy #cleanup #cost

Negligible Impact On Precipitation From A Permanent Inland Lake In Central Australia
--
https://doi.org/10.1029/2023GL103913 <-- shared paper
--
“KEY POINTS:
• A climate model is used to test the hypothesis that creating a large lake in central Australia would increase rainfall
• Locally, surface cooling effects of the lake suppress the formation of precipitation
• Regionally, moisture from the lake is exported to other areas but the amount is small compared to natural variability in Australian rainfall..."”
#GIS #spatial #mapping #water #waterresources #hydrology #waterstorage #watersecurity #model #modeling #Australia #KatiThanda #LakeEyre #rainfall #precipitation #farming #agriculture #irrigation #climatemodel #evaporation #ET #evaporativecooling #proposal #research #bradfield #waterscheme #diversion #pumping #impact #spatialanalysis