The study proposes a new approach that combined statistical downscaling, bias correction, and disaggregation of rainfall techniques in order to derive the IDF curve from large scale atmospheric reanalysis data. applied methodology details NCEP/NCAR dataset being downscaled by an ANN-based estimate daily Izmir. annual maximum series area were sampled series. rainfalls then bias-corrected quantil...

Accurate terrestrial water storage (TWS) estimation is important to evaluate the situation of the water resources over the Yangtze River Basin (YRB). This study exploits the TWS observation from the new temporal gravity field model, HUST-Grace2016 (Huazhong University of Science and Technology), which is developed by a new low-frequency noise processing strategy. A novel GRACE (Gravity Recovery...

Currently dust storms are among the most prevalent global environmental issues.They early warning indicators for desertification and climate change. The study intends toanalyse event in Pakistan using normalized detection index (NDDI), brightness temperature(BT) MODIS data of aerosol optical depth (AOD), deep blue angstrom exponent (AE), aerosolindex (AI) HYSPLIT mass trajectory methods. It als...

The applicability of NASA QuikSCAT ocean surface wind was tested for predicting South American low-level jets (SALLJs) with a statistical model. Our previous study (Wang, H. and Fu, R., 2004, Influence of cross-Andes flow on the South American low-level jet. Journal of Climate, 17, pp. 1247–1262) has examined the dynamic process associated with austral winter SALLJs using the ECMWF Reanalyses (...

Abstract The primary objective of the study was determination spatial and multiannual variability occurrence days with very strong extreme cold stress in Poland according to Universal Thermal Climate Index (UTCI), as well baric conditions favouring their occurrence. based on data from years 1966/67 2018/19 Institute Meteorology Water Management – National Research Centre for Environmental Predi...