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#climatesciences — Public Fediverse posts

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

  1. 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
    europesays.com/korea/81827/

  2. 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
    newsbeep.com/us/239767/

  3. 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