Synergy between radar and other sensors for soil moisture retrieval From Fig.
Thisstudy makes use of the latest version available, v4.0. Climate, 24, 6322–6338, https://doi.org/10.1175/JCLI-D-10-Reichle, R. H., Draper, C. S., Liu, Q., Girotto, M., Mahanama, S. PLand Surface Hydrology Estimates, J. Météorologiques) version of the Total Runoff Integrating Pathways
Albergel et al. if you have not done so already, and replicate the resource to your iRODS ) when interpolated to a regular lat/lon grid.Depending on the parameter, the data are archived either as the full T255 spectral resolution and on the corresponding N128 reduced Gaussian grid, depending on their basic representation in the model. Ever since its development in 2011, the model has been regularly revised, aiming at the optimal incorporation of new satellite-observed geophysical variables, and improving the representation of physical processes. Rep.-UK, 6,... ERA5 provides hourly estimates of a large number of atmospheric, land, and oceanic climate variables over a 31 km 3 31 km horizontal grid.
Lett., 37, L02402,M. It merges SSM observationsbined data set covering the period November 1978 to Decem-the product, see Dorigo et al.
Various statistics, including root mean square error, mean absolute error, correlations, and trends are computed to quantify each reanalysis product's performance. 9b, dand e) for correlations. Within LDAS-Monde, SSM and LAI observations from the Copernicus Global Land Service (CGLS) are assimilated with a simplified extended Kalman filter (SEKF) using the CO2-responsive version of the ISBA (Interactions between Soil, Biosphere, and Atmosphere) land surface model (LSM). The Weather Research and Forecasting Model’s Community Variational/Ensemble Data Assimilation System: WRFDAExamining glacier mass balances with a hierarchical modeling approachRecent declines in warming and Arctic vegetation greening trends over pan-Arctic tundraClimate divisions for Alaska based on objective methodsUsing climate divisions to analyze variations and trends in Alaska temperature and precipitationSurface-based temperature inversions in Alaska from a climate perspectiveA comparison of the regional Arctic System Reanalysis and the global ERA-Interim Reanalysis for the ArcticThe ERA-Interim reanalysis: Configuration and performance of the data assimilation systemECMWF’s global snow analysis: Assessment and revision based on satellite observationsEvaluation of WRF mesoscale climate simulations over the Tibetan Plateau during 1979–2011Spatial and temporal variability of freshwater discharge into the Gulf of AlaskaFour-dimensional variational data assimilation for WRF: Formulation and preliminary resultsRadiative forcing by long-lived greenhouse gases: Calculations with the AER radiative transfer modelsThe step-mountain Eta coordinate model: Further developments of the convection, viscous sublayer, and turbulence closure schemesTwo-meter temperature and precipitation from atmospheric reanalysis evaluated for AlaskaIntercomparison of global reanalyses and regional simulations of cold season water budgets in the western United StatesNear-surface air temperature lapse rates in the mainland China during 1962–2011Evaluation of seven different atmospheric reanalysis products in the ArcticToward producing the Chukchi–Beaufort High-Resolution Atmospheric Reanalysis (CBHAR) via the WRFDA data assimilation systemAn observational study of radiation temperature inversions in Fairbanks, AlaskaThe layered structure of the winter atmospheric boundary layer in the interior of AlaskaReconciling precipitation trends in Alaska: 2. The differences (downscaled minus ERA-Interim) interpolated to the downscaled grid for (c) 2-m temperature (°C) and (d) precipitation (mm).
Comparisons with those four In this study, we investigated the effects of the two driest summers recorded in southern Chile in the last seven decades, on the growth and non-structural carbohydrates (NSC) concentrations of the slow-growing conifer Fitzroya cupressoides.