Results 191 to 200 of about 57,699 (297)
Predicting upwelling dynamics in the South Sea of Java, Indonesia: A deep learning approach with ConvLSTM and 3D-CNN. [PDF]
Rantini D +9 more
europepmc +1 more source
Abstract Due to the high sparsity of in situ observations, reanalysis data sets are often the only source of climate information for the 20th century, particularly in the Arctic. The NOAA/CIRES/DOE 20th Century Reanalysis v3 provides uncertainty estimates, whose reliability we evaluate by comparing with non‐assimilated daily and monthly historical air ...
S. Scher +3 more
wiley +1 more source
Long-Time Stability of a Stably Stratified Rest State in the Inviscid 2D Boussinesq Equation. [PDF]
Jurja C, Widmayer K.
europepmc +1 more source
Abstract This study provides a systematic evaluation of historical simulations of monthly surface air temperature and precipitation from CMIP6 and CMIP5 models. By utilizing an error decomposition framework that separates the Mean Squared Error (MSE) into mean bias, variance, and correlation components, we quantify the specific sources of error in each
Eunkyo Seo +2 more
wiley +1 more source
Digital twin-based machine learning framework for predicting nonlinear seismic response of reinforced concrete shear walls using analytical data. [PDF]
Kuria KK, Kegyes-Brassai O.
europepmc +1 more source
Abstract Under global warming, accelerated hydrological cycle and enhanced climate variability are expected to increase the risk of interannual dry–wet transitions (IDWTs). This study employs the Standardized Precipitation Evapotranspiration Index (SPEI) to examine historical characteristics and future changes of IDWTs over eastern Asia and North ...
Kun Yang +6 more
wiley +1 more source
Global monthly CMIP6-downscaled high-resolution (1 km) near-surface air temperature dataset (1950-2100). [PDF]
Lei X +6 more
europepmc +1 more source
Interpolation of the inner measure of bilinear operators by the real method [PDF]
Fernando Cobos +2 more
openalex +1 more source
Abstract Severe precipitation in the Yangtze River Basin (YRB) poses escalating flood risks, underscoring urgent needs for skillful subseasonal prediction. In this study, we develop an integrated dynamical‐statistical downscaling model based on overlapping circulation‐precipitation co‐evolution (OCPCE), which merges prior and concurrent circulation ...
Fang Zhou +5 more
wiley +1 more source

