#climatesciences — Public Fediverse posts

Global vessel carbon dioxide emission from navigable rivers

Raymond, P. A. et al. Global carbon dioxide emissions from inland waters. Nature 503, 355–359 (2013). Article  CAS …
#NewsBeep #News #Environment #CA #Canada #climatechange #ClimateChange/ClimateChangeImpacts #Climatesciences #EnvironmentalLaw/Policy/Ecojustice #Environmentalsciences #general #Science
https://www.newsbeep.com/ca/822440/

Assessing future water shortages at Boryeong dam, South Korea, under CMIP6 climate scenarios using the SWAT model

Climate change is significantly impacting water resource management, with increasing droughts threatening water availability worldwide. This study assesses…
#EuropeSays #Korea #KR #SouthKorea #Climatesciences #Environmentalsciences #HumanitiesandSocialSciences #Hydrology #multidisciplinary #Naturalhazards #science #Waterresources
https://www.europesays.com/korea/81827/

Uncovering the unequal geography of climate change https://www.byteseu.com/2153270/ #Climate #ClimateChange #ClimateChangePolicy #ClimateChange/ClimateChangeImpacts #ClimateSciences #ClimateChangeImpacts #Economics #environment #EnvironmentalLaw/Policy/Ecojustice #General #GlobalWarming

Geological, land use and biological influences on carbon cycling and CO2 degassing in the Danube River

Spatial variations in…
#NewsBeep #News #Science #Biogeochemistry #C3/C4isotopemassbalance #CA #Canada #Climatesciences #CO2fluxes #Dissolvedinorganiccarbon(DIC) #Ecology #Environmentalsciences #Freshwaterresearch #Groundwater-surfaceinteractions #HumanitiesandSocialSciences #Hydrology #multidisciplinary #npCO2(aq)n #nδn13CDICstableisotopeanalyses #Weathering
https://www.newsbeep.com/ca/762740/

https://www.europesays.com/ie/555388/ Geological, land use and biological influences on carbon cycling and CO2 degassing in the Danube River #Biogeochemistry #C3/C4IsotopeMassBalance #ClimateSciences #CO2Fluxes #DissolvedInorganicCarbon(DIC) #Ecology #Éire #EnvironmentalSciences #FreshwaterResearch #GroundwaterSurfaceInteractions #HumanitiesAndSocialSciences #Hydrology #IE #Ireland #multidisciplinary #NPCO2(aq)n #Nδn13CDICStableIsotopeAnalyses #Science #Weathering

https://www.europesays.com/africa/300252/ Climate change impact on future Egypt’s wind energy: a CMIP6-based assessment of power output #ClimateSciences #Egypt #EnvironmentalSciences #ERA5Land #GlobalClimateModels(GCMs) #HumanitiesAndSocialSciences #KlingGuptaEfficiency(KGE) #multidisciplinary #science #SharedSocioeconomicPathways(SSPs) #WindEnergy #WindTurbines

https://www.europesays.com/ch/89458/ Rapid glacier retreat and downwasting throughout the European Alps in the early 21st century #Alps #ClimateSciences #CryosphericScience #EnvironmentalSciences #HumanitiesAndSocialSciences #multidisciplinary #Science

https://www.europesays.com/ch/81282/ Turning food waste into carbon captors #ClimateSciences #DHEST #EngineeringSciences #EnvironmentalSciences #FoodSciences #news #Sustainability #Zürich

Ice core reveals longest-ever continuous record of Earth’s climate

Antarctic ice cores preserve tiny bubbles of ancient air, offering a record of Earth’s past atmosphere.Credit: British Antarctic…
#NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Science #climatechange #Climatesciences #HumanitiesandSocialSciences #multidisciplinary
https://www.newsbeep.com/us/639918/

Ice core reveals longest-ever continuous record of Earth’s climate

Antarctic ice cores preserve tiny bubbles of ancient air, offering a record of Earth’s past atmosphere.Credit: British Antarctic…
#NewsBeep #News #Science #ClimateChange #Climatesciences #GB #HumanitiesandSocialSciences #multidisciplinary #UK #UnitedKingdom
https://www.newsbeep.com/uk/580970/

Climate governance overlooks the ocean: a structural limitation exposed at COP30 https://www.byteseu.com/2005723/ #Climate #ClimateChange #ClimateChangeManagementAndPolicy #ClimateChange/ClimateChangeImpacts #ClimateSciences #EnvironmentalSocialSciences #EnvironmentalStudies #Freshwater&MarineEcology #GlobalWarming #Marine&FreshwaterSciences #OceanSciences #oceanography #ScientificCommunity

https://www.europesays.com/africa/217507/ Clustering and machine learning techniques identify air pollution regimes in Greater Cairo #AirPollution #ClimateSciences #DecisionTrees #Egypt #EnvironmentalSciences #EnvironmentalSocialSciences #GreaterCairo #HumanitiesAndSocialSciences #KMeansClustering #MachineLearning #MathematicsAndComputing #multidisciplinary #RandomForest #science #UrbanEnvironments

Portfolio optimization for industrial cluster defossilization in the Port of Rotterdam

In this section, the proposed portfolio optimization model for the defined scenarios are applied and risk-return relationships are…
#Netherlands #Nederland #NL #Europe #Europa #EU #Rotterdam #Climatesciences #Energyscienceandtechnology #Environmentalsciences #Environmentalsocialsciences #HumanitiesandSocialSciences #multidisciplinary #Science
https://www.europesays.com/netherlands/1127/

https://www.europesays.com/ie/168299/ Integrating RUSLE, AHP, GIS, and cloud-based geospatial analysis for soil erosion assessment under mediterranean conditions #Algeria #ClimateSciences #Ecology #Éire #Environment #EnvironmentalSciences #GEE;AHP #HumanitiesAndSocialSciences #Hydrology #IE #Ireland #LandDegradation #MitidjaPlain #multidisciplinary #NaturalHazards #RUSLE #Science #SoilErosion

Vegetation cover change as a growing driver of global leaf area index dynamics

DatasetsVegetation cover data The Vegetation Continuous Fields version 1 product (VCF5KYR) was adopted to provide global fine-scale fractional…
#NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Environment #Climatesciences #Ecosystemecology #Environmentalsciences #Forestry #HumanitiesandSocialSciences #multidisciplinary #Science
https://www.newsbeep.com/us/239767/

Basics of Numerical Weather Prediction (NWP):

1. THE HORIZONTAL MOMENTUM EQUATION:
\[
\frac{d\mathbf{V}}{dt} + f\hat{k} \times \mathbf{V} = -\nabla \phi + \frac{\sigma}{p_s} \frac{\partial \phi}{\partial \sigma} \nabla p_s + \mathbf{F}
\]

2. THE CONTINUITY EQUATION:
\[
\frac{\partial p_s}{\partial t} + \nabla \cdot (p_s \mathbf{V}) + \frac{\partial}{\partial \sigma}(p_s \dot{\sigma}) = 0
\]

3. THE THERMODYNAMIC ENERGY EQUATION:
\[
\frac{1}{R} \frac{d}{dt} \left[ \sigma \frac{\partial \phi}{\partial \sigma} \right] + \frac{RT}{C_p p} \left[ p_s \dot{\sigma} + \sigma\dot{p_s} \right] = -Q
\]

4. HYDROSTATIC EQUATION:
\[
\frac{\partial \phi}{\partial \sigma} = -\frac{RT_v}{\sigma}
\]

5. SURFACE PRESSURE TENDENCY EQUATION:
\[\displaystyle
\frac{\partial p_s}{\partial t} = -\int_{0}^{1} \nabla\cdot (p_s \mathbf{V}) \, d\sigma
\]

6. MOISTURE EQUATION:
\[\displaystyle
\frac{\partial}{\partial t} (p_s q) + \nabla\cdot (p_s q \mathbf{V}) + \frac{\partial}{\partial \sigma} (p_s q \dot{\sigma}) = p_s S
\]

The six primary unknowns are: \(\mathbf{V}\) (horizontal wind velocity), \(p_s\) (surface pressure), \(T\) (temperature), \(q\) (specific humidity or moisture), \(\phi\) (geopotential), and \(\dot{\sigma}\) (sigma velocity or vertical velocity in \(\sigma\)-coordinates).

#NWP #Weather #NumericalWeatherPrediction #Meteorology #Climate #ClimateScience #Earth #EarthScience #ClimateChange #ClimateSciences #Science #WeatherPrediction #Humidity #Moisture #Pressure #Velocity #SurfacePressure #HydrostaticEquation #WeatherPrediction #Ocean #Atmosphere #AOS #ClimateDynamics #WeatherDynamics #Geopotential #SigmaVelocity #VerticalVelocity #MoistureEquation #Thermodynamics #Dynamics #NavierStokes

Basics of Numerical Weather Prediction (NWP):

1. THE HORIZONTAL MOMENTUM EQUATION:
\[
\frac{d\mathbf{V}}{dt} + f\hat{k} \times \mathbf{V} = -\nabla \phi + \frac{\sigma}{p_s} \frac{\partial \phi}{\partial \sigma} \nabla p_s + \mathbf{F}
\]

2. THE CONTINUITY EQUATION:
\[
\frac{\partial p_s}{\partial t} + \nabla \cdot (p_s \mathbf{V}) + \frac{\partial}{\partial \sigma}(p_s \dot{\sigma}) = 0
\]

3. THE THERMODYNAMIC ENERGY EQUATION:
\[
\frac{1}{R} \frac{d}{dt} \left[ \sigma \frac{\partial \phi}{\partial \sigma} \right] + \frac{RT}{C_p p} \left[ p_s \dot{\sigma} + \sigma\dot{p_s} \right] = -Q
\]

4. HYDROSTATIC EQUATION:
\[
\frac{\partial \phi}{\partial \sigma} = -\frac{RT_v}{\sigma}
\]

5. SURFACE PRESSURE TENDENCY EQUATION:
\[\displaystyle
\frac{\partial p_s}{\partial t} = -\int_{0}^{1} \nabla\cdot (p_s \mathbf{V}) \, d\sigma
\]

6. MOISTURE EQUATION:
\[\displaystyle
\frac{\partial}{\partial t} (p_s q) + \nabla\cdot (p_s q \mathbf{V}) + \frac{\partial}{\partial \sigma} (p_s q \dot{\sigma}) = p_s S
\]

The six primary unknowns are: \(\mathbf{V}\) (horizontal wind velocity), \(p_s\) (surface pressure), \(T\) (temperature), \(q\) (specific humidity or moisture), \(\phi\) (geopotential), and \(\dot{\sigma}\) (sigma velocity or vertical velocity in \(\sigma\)-coordinates).

#NWP #Weather #NumericalWeatherPrediction #Meteorology #Climate #ClimateScience #Earth #EarthScience #ClimateChange #ClimateSciences #Science #WeatherPrediction #Humidity #Moisture #Pressure #Velocity #SurfacePressure #HydrostaticEquation #WeatherPrediction #Ocean #Atmosphere #AOS #ClimateDynamics #WeatherDynamics #Geopotential #SigmaVelocity #VerticalVelocity #MoistureEquation #Thermodynamics #Dynamics #NavierStokes

Basics of Numerical Weather Prediction (NWP):

1. THE HORIZONTAL MOMENTUM EQUATION:
\[
\frac{d\mathbf{V}}{dt} + f\hat{k} \times \mathbf{V} = -\nabla \phi + \frac{\sigma}{p_s} \frac{\partial \phi}{\partial \sigma} \nabla p_s + \mathbf{F}
\]

2. THE CONTINUITY EQUATION:
\[
\frac{\partial p_s}{\partial t} + \nabla \cdot (p_s \mathbf{V}) + \frac{\partial}{\partial \sigma}(p_s \dot{\sigma}) = 0
\]

3. THE THERMODYNAMIC ENERGY EQUATION:
\[
\frac{1}{R} \frac{d}{dt} \left[ \sigma \frac{\partial \phi}{\partial \sigma} \right] + \frac{RT}{C_p p} \left[ p_s \dot{\sigma} + \sigma\dot{p_s} \right] = -Q
\]

4. HYDROSTATIC EQUATION:
\[
\frac{\partial \phi}{\partial \sigma} = -\frac{RT_v}{\sigma}
\]

5. SURFACE PRESSURE TENDENCY EQUATION:
\[\displaystyle
\frac{\partial p_s}{\partial t} = -\int_{0}^{1} \nabla\cdot (p_s \mathbf{V}) \, d\sigma
\]

6. MOISTURE EQUATION:
\[\displaystyle
\frac{\partial}{\partial t} (p_s q) + \nabla\cdot (p_s q \mathbf{V}) + \frac{\partial}{\partial \sigma} (p_s q \dot{\sigma}) = p_s S
\]

The six primary unknowns are: \(\mathbf{V}\) (horizontal wind velocity), \(p_s\) (surface pressure), \(T\) (temperature), \(q\) (specific humidity or moisture), \(\phi\) (geopotential), and \(\dot{\sigma}\) (sigma velocity or vertical velocity in \(\sigma\)-coordinates).

#NWP #Weather #NumericalWeatherPrediction #Meteorology #Climate #ClimateScience #Earth #EarthScience #ClimateChange #ClimateSciences #Science #WeatherPrediction #Humidity #Moisture #Pressure #Velocity #SurfacePressure #HydrostaticEquation #WeatherPrediction #Ocean #Atmosphere #AOS #ClimateDynamics #WeatherDynamics #Geopotential #SigmaVelocity #VerticalVelocity #MoistureEquation #Thermodynamics #Dynamics #NavierStokes

Basics of Numerical Weather Prediction (NWP):

1. THE HORIZONTAL MOMENTUM EQUATION:
\[
\frac{d\mathbf{V}}{dt} + f\hat{k} \times \mathbf{V} = -\nabla \phi + \frac{\sigma}{p_s} \frac{\partial \phi}{\partial \sigma} \nabla p_s + \mathbf{F}
\]

2. THE CONTINUITY EQUATION:
\[
\frac{\partial p_s}{\partial t} + \nabla \cdot (p_s \mathbf{V}) + \frac{\partial}{\partial \sigma}(p_s \dot{\sigma}) = 0
\]

3. THE THERMODYNAMIC ENERGY EQUATION:
\[
\frac{1}{R} \frac{d}{dt} \left[ \sigma \frac{\partial \phi}{\partial \sigma} \right] + \frac{RT}{C_p p} \left[ p_s \dot{\sigma} + \sigma\dot{p_s} \right] = -Q
\]

4. HYDROSTATIC EQUATION:
\[
\frac{\partial \phi}{\partial \sigma} = -\frac{RT_v}{\sigma}
\]

5. SURFACE PRESSURE TENDENCY EQUATION:
\[\displaystyle
\frac{\partial p_s}{\partial t} = -\int_{0}^{1} \nabla\cdot (p_s \mathbf{V}) \, d\sigma
\]

6. MOISTURE EQUATION:
\[\displaystyle
\frac{\partial}{\partial t} (p_s q) + \nabla\cdot (p_s q \mathbf{V}) + \frac{\partial}{\partial \sigma} (p_s q \dot{\sigma}) = p_s S
\]

The six primary unknowns are: \(\mathbf{V}\) (horizontal wind velocity), \(p_s\) (surface pressure), \(T\) (temperature), \(q\) (specific humidity or moisture), \(\phi\) (geopotential), and \(\dot{\sigma}\) (sigma velocity or vertical velocity in \(\sigma\)-coordinates).

#NWP #Weather #NumericalWeatherPrediction #Meteorology #Climate #ClimateScience #Earth #EarthScience #ClimateChange #ClimateSciences #Science #WeatherPrediction #Humidity #Moisture #Pressure #Velocity #SurfacePressure #HydrostaticEquation #WeatherPrediction #Ocean #Atmosphere #AOS #ClimateDynamics #WeatherDynamics #Geopotential #SigmaVelocity #VerticalVelocity #MoistureEquation #Thermodynamics #Dynamics #NavierStokes

Integrating double techniques of statistical downscaling and bias correction to reduce bias in projections trends of future climate datasets https://www.byteseu.com/1305133/ #BiasCorrection(CMhyd) #Climate #ClimateChange #ClimateSciences #ClimaticZone #CMIP6 #EmissionScenarios #GCMGrid #GlobalWarming #HumanitiesAndSocialSciences #multidisciplinary #Science #StatisticalDownscaling(SDSM) #Uncertainty

The answer seems to be:
1. assess and present risks to policymakers and the public
2. Use your voices and authority (climate scientists have more authority which means more power which means more responsibility..)

#Climate #ClimateSciences #ClimateActivists

https://fediscience.org/@Ruth_Mottram/111421107786654925

The answer seems to be:
1. assess and present risks to policymakers and the public
2. Use your voices and authority (climate scientists have more authority which means more power which means more responsibility..)

#Climate #ClimateSciences #ClimateActivists

https://fediscience.org/@Ruth_Mottram/111421107786654925