near‐surface air temperaturemultiple‐linear regression modelObservations of daily minimum and maximum land air temperatures, Tmin and Tmax, have traditionally been obtained through in situ observations at met
tasmax Daily mean of the daily-maximum near-surface air temperature 188.38 335.13 K * = Values are estimated 影像属性: Name Type Description model String Name of the CMIP5 model. It is one of 'ACCESS1-0', 'bcc-csm1-1', 'BNU-ESM', 'CanESM2', 'CCSM4', 'CESM1-BGC', 'CNRM-CM5...
End of century daily average maximum near-surface air temperature difference between the downscaled CanESM5 model output (CMIP6) and the corresponding downscaled CanESM2 model output (CMIP5). Full size image Fig. 2 Same as Fig.1, but for precipitation. Full size image The NEX-GDDP-CMIP6 a...
& Jia, S. Estimation of daily maximum and minimum air temperature using MODIS land surface temperature products. Remote Sens. Environ. 130, 62–73 (2013). 21. Hou, P. et al. Near-surface air temperature retrieval from satellite images and influence by wetlands in urban region. Theor. Appl...
There are nine near-surface meteorological variables including 2-m air temperature (tas), 2-m daily maximum air temperature (tasmax), 2-m daily minimum air temperature (tasmin), precipitation (pr), 10-m wind speed (sfcWind), downward longwave radiation (rlds), downward shortwave radiation (...
Abstract The two main methods for determining the average daily near-surface air temperature, twice-daily averaging (i.e., [Tmax+Tmin]/2) and hourly averaging (i.e., the average of 24 hourly temperature measurements), typically show differences associated with the asymmetry of the daily temper...
(TAS); maximum daily near-surface air temperature degrees Kelvin (TASMAX); and minimum daily near-surface air temperature degrees Kelvin (TASMIN). The downscaling process helps interpolate global climate models to smaller regional units using bias-corrected climate ch...
The fraction of rain–snow transition is determined by the surface air temperature (T) and is replaced by the daily maximum surface air temperature in this study for snowfall statistics, which can ensure that the precipitation falling to the ground is solid snow (Chen et al., 2020a). ...
of the observed data and also by using topographic and climatic co-variables. Among the applied remote sensing data, Land Surface Temperature (LST) is the most frequently used parameter because it improves both the numerical accuracy and the spatiotemporal details of the interpolated air temperature...
To resolve the issue that Tair observations are scarce in the TP western part and at high elevation, many studies have estimated daily air temperatures by using MODIS land surface temperature (LST) and various reanalysis datasets. These estimates are however inadequate for supporting high-resolution ...