[HTML][HTML] Improving the estimation of atmospheric water vapor pressure using interpretable long short-term memory networks
Atmospheric water vapor pressure is an essential meteorological control on land surface
and hydrologic processes. As it is not as frequently observed as other meteorologic
conditions, it is often inferred through the August–Roche–Magnus formula by simply
assuming dew point and daily minimum temperatures are equivalent or by empirically
correlating the two temperatures using an aridity correction. The performance of both
methods varies considerably across different regions and during different time periods; …
and hydrologic processes. As it is not as frequently observed as other meteorologic
conditions, it is often inferred through the August–Roche–Magnus formula by simply
assuming dew point and daily minimum temperatures are equivalent or by empirically
correlating the two temperatures using an aridity correction. The performance of both
methods varies considerably across different regions and during different time periods; …
Improving the Estimation of the Atmospheric Water Vapor Pressure Using Interpretable Long Short-Term Memory Networks: Dataset, Python code, and trained models
Atmospheric water vapor pressure is an essential meteorological control on land surface
and hydrologic processes. It is not as frequently observed as other meteorologic conditions,
but often inferred through the August–Roche–Magnus formula by simply assuming dew
point and daily minimum temperatures are equivalent or by empirically correlating the two
temperatures using an aridity correction. The performance of both methods varies
considerably across different regions and during different time periods; obtaining …
and hydrologic processes. It is not as frequently observed as other meteorologic conditions,
but often inferred through the August–Roche–Magnus formula by simply assuming dew
point and daily minimum temperatures are equivalent or by empirically correlating the two
temperatures using an aridity correction. The performance of both methods varies
considerably across different regions and during different time periods; obtaining …