A wide range of environmental applications require the monitoring of land surface temperature (LST) at frequent intervals and fine spatial resolutions, but these conditions are not offered nowadays by the available space sensors. To overcome these shortcomings, LST downscaling methods have been developed to derive higher resolution LST from the available satellite data. This research concerns t...

The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) Goddard Profiling (GPROF) rainfall retrieval algorithm is an inversion type algorithm, which uses numerical cloud models and radiative transfer schemes to simulate the brightness temperatures that the TMI would see, thereby allowing one to relate hydrometeor profiles to brightness temperature. The variability in modeled hydro...

Physical development without proper planning has limited ecological capacity and the ability of natural ecosystems. Urban river structure as one of the most important ecological infrastructures in the city provides a variety of ecosystem services, including landscaping, climate change, etc. which is strongly dependent on the structure and functional status of the river. This study was conducted...

A variable-grid atmospheric general circulation model, namely, Laboratoire de Météorologie Dynamiquezoom, version 4 (LMDz4), with a local zoom over eastern China, is driven by 40-yr European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-40) data and is used as a downscaling tool of summer rainfall variability for the period 1958–2000. During the integration, the model tempe...

A coupled modeling framework is used in this study to investigate the effect of subgrid-scale rainfall variability on the spatial structure of the evolving storm and on other surface variables and water and energy fluxes. The Fifth-Generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model coupled with the Biosphere–Atmosphere Transfer Scheme is combined w...

This study describes an EOF-based technique for statistical downscaling of high spatial resolution monthly mean precipitation from large scale reanalysis circulation fields. The method is demonstrated and evaluated for four widely-separated locations: the Southeast United States, the Upper Colorado River Basin, China’s Jiangxi Province, and Central Europe. For each location, the EOF-based downs...

Spatially distributed meteorological information at the slope scale is relevant for many processes in complex terrain, yet this sub-km spatial resolution difficult to obtain. While downscaling kilometer resolutions well described literature, moving beyond not. In work, we present a methodical comparison of three methods varying complexity, that are used downscale data from Numerical Weather Pre...

This paper presents a new blending approach to applying large-scale correction the initial condition in limited-area numerical weather prediction (NWP) model. The combines implementation benefits of known approaches and shows significant improvement forecast quality when implemented tropical NWP Sensitivity studies indicate that many improvements come from horizontal winds alone. Adding tempera...