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#precipitation — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #precipitation, aggregated by home.social.

  1. Glacier Mass Balance Response To Extreme Precipitation Events In The Western Himalaya, India
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    doi.org/10.1016/j.gloplacha.20 <-- shared paper
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    H/T @pramod Kumar
    “This work highlight that the large interannual variability in glacier mass balance is largely associated with fluctuations in accumulation and ablation driven by extreme precipitation events across the Himalaya. These events can temporarily offset annual ice losses by enhancing snow accumulation…”
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    “HIGHLIGHTS:
    • Annual-to-decadal relationships between glacier surface mass balance and extreme precipitation events (EPEs) were identified and analyzed for the western Himalaya.
    • Although negative mass balance dominates in the region, extreme precipitation events (0–5/year) are linked to less negative and positive mass balance years through increased snowfall.
    • NAO/AO phases increase Western Disturbance frequency/intensity, promoting accumulation; Western Disturbances (60.2%) control EPEs with wintertime snowfall.
    ABSTRACT: Extreme precipitation events can drive anomalous snow accumulation on Himalayan glaciers, thereby affecting short-term variations in mass balance. Over the past five decades, an accelerated mass loss of Himalayan glaciers has been observed, making it critical to assess the role of precipitation, particularly extreme events in modulating glacier health. This study compiles 182 in situ glacier-wide mass-balance observations from 26 glaciers in the western Himalaya, India, from 1974 to 2023. Observing an alarming negative cumulative mass balance of around −26 ± 1.67 m w.e., with more frequent years in recent decades showing negative mass balance exceeding −1.5 m w.e. / a, highlights the ongoing severity of glacier mass loss. However, over several years, there have been relative mass-balance gains or reduced losses, often linked to extreme precipitation events (EPEs), with annual fluctuations between 0 and 5 events. Cross-correlation analysis supports this, showing a direct response of glacier mass balance to EPEs variability. The EPEs are mainly fed by moisture supply from Western Disturbances (60.2%), followed by the Indian Summer Monsoon (16.4%), cyclogenesis (6.3%), and WD–cyclogenesis interactions (4.6%), while other synoptic systems account for the remaining ∼12%, together driving strong moisture convergence and severe precipitation episodes. These synoptic drivers determine the frequency and intensity of EPEs and influence the precipitation phase snow versus rain, thus impacting accumulation and melt processes differently. Statistical evidence indicates that EPEs temporarily increase accumulation, counteracting seasonal mass losses in certain years with moderate same-year sensitivity…”
    #Glacier #massbalance #extremeweather #precipitation #WesternHimalaya #WesternDisturbances #IndianSummer #Monsoon #cyclogenesis #rainfall #Himalaya #India #interannual #variation #accumulation #ablation #extremeprecipitation #snowfall #snowaccumulation #glacierhealth #cryosphere

  2. Classification And Conceptualization Of Karst Recharge Processes Through Spectral And Change Point Analysis Of Drip Water Dynamics
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    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

  3. Identifying Agricultural Consumptive-Use Patterns To Support Adaptive Water Management In California’s Santa Clara Valley Via Remote Sensing And Machine Learning
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    doi.org/10.1371/journal.pwat.0 <-- shared paper
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    H/T @Guillaume Wright | Executive Editor, PLOS
    “💧 With drought [and high temperatures] gripping many areas of the world right now... [the H/T] wanted to highlight a new paper in PLOS Water this week with a very timely focus on hydroclimatic stresses and what can be done to mitigate this through water management practices when it comes to agriculture.
    [The authors] investigate[d] adaptive water management practices in California’s Santa Clara Valley via remote sensing and machine learning techniques. They [found] good evidence for use of customized agricultural water-management plans for irrigation monitoring, conservation planning, and adaptive water management in groundwater-dependent regions such as is found in California…”
    #GIS #spatial #mapping #California #SantaClara #SantaClaraValley #custom #watermanagement #practices #waterresources #agriculture #remotesensing #spatialanalysis #machinelearning #earthobservation #AI #planning #wateruse #efficiency #water #hydrology #irrigation #conservation #adaptivewatermanagement #model #modeling #drought #extremeweather #hydroclimate #stress #crop #cropland #evapotranspiration #ET #NDVI #PRISM #precipitation #rainfall #watermanagementplan #groundwater

  4. 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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    substack.com/home/post/p-20744 <-- shared technical post
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    openlibrary.substack.com/ <-- shared Substack, “Open Library on Green Economy”
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    adaptationwithoutborders.org/k <-- shared technical article, “Shifting cooperation in the [HKH]”
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    icimod.org/who-we-are/the-hind <-- background on the HKH, International Centre for Integrated Mountain Development (ICIMOD)
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    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

  5. Compound Hydrogeomorphic Cascades And Rapid Upstream To Downstream Hazard Coupling In The Eastern Himalaya
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    doi.org/10.1038/s41598-026-529 <-- shared paper
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    doi.org/10.5194/esurf-13-1281- <-- shared paper
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    doi.org/10.1007/s11069-025-077 <-- 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

  6. 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
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    doi.org/10.1007/s12665-026-128 <-- shared paper
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    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।”
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    #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

  7. @funnymonkey I'm guessing that cabal goes deep, wide and long. We've only seen the tip of the iceberg if they're starting with the C's. Remember Sleepy Eyed Joe's cryptic message before saying goodbye? He done spilled the beans, spilled 'em all.

    social.vivaldi.net/@cmthiede/1

    youtu.be/_JoV1Kap65g

    #MuzakLessons #LesClaypool #Precipitation #HolyMackerel

  8. @funnymonkey I'm guessing that cabal goes deep, wide and long. We've only seen the tip of the iceberg if they're starting with the C's. Remember Sleepy Eyed Joe's cryptic message before saying goodbye? He done spilled the beans, spilled 'em all.

    social.vivaldi.net/@cmthiede/1

    youtu.be/_JoV1Kap65g

    #MuzakLessons #LesClaypool #Precipitation #HolyMackerel

  9. @funnymonkey I'm guessing that cabal goes deep, wide and long. We've only seen the tip of the iceberg if they're starting with the C's. Remember Sleepy Eyed Joe's cryptic message before saying goodbye? He done spilled the beans, spilled 'em all.

    social.vivaldi.net/@cmthiede/1

    youtu.be/_JoV1Kap65g

    #MuzakLessons #LesClaypool #Precipitation #HolyMackerel

  10. @funnymonkey I'm guessing that cabal goes deep, wide and long. We've only seen the tip of the iceberg if they're starting with the C's. Remember Sleepy Eyed Joe's cryptic message before saying goodbye? He done spilled the beans, spilled 'em all.

    social.vivaldi.net/@cmthiede/1

    youtu.be/_JoV1Kap65g

    #MuzakLessons #LesClaypool #Precipitation #HolyMackerel

  11. @funnymonkey I'm guessing that cabal goes deep, wide and long. We've only seen the tip of the iceberg if they're starting with the C's. Remember Sleepy Eyed Joe's cryptic message before saying goodbye? He done spilled the beans, spilled 'em all.

    social.vivaldi.net/@cmthiede/1

    youtu.be/_JoV1Kap65g

    #MuzakLessons #LesClaypool #Precipitation #HolyMackerel