Urbanization brings biophysical changes in the composition of the landscape. Such change has an impact on the thermal environment locally. The urban mosaic of land use and land cover is thus characteristically composed of local climate zones. The spatial variation in the land surface temperature across specific zone is studied for Bhopal city. The objective of the study was to understand how th...

Current climate models still have large uncertainties in estimating biogenic trace gases, which can significantly affect atmospheric chemistry and secondary aerosol formation that ultimately influences air quality and aerosol radiative forcing. These uncertainties result from many factors, including uncertainties in land surface processes and specification of vegetation types, both of which can...

Environmental monitoring of Earth from space has provided invaluable information for understanding land–atmosphere water and energy exchanges. However, the use of satellite-based precipitation observations in hydrologic and environmental applications is often limited by their coarse spatial resolutions. In this study, we propose a downscaling approach based on precipitation–land surface charact...

This data article contains data related to the research article entitled "Global land cover classification based on microwave polarization and gradient ratio (MPGR)" [1] and "Microwave polarization and gradient ratio (MPGR) for global land surface phenology" [2]. This data article presents land surface characteristics and snow cover variation information from sensors like EOS Advanced Microwave...

[1] The effect of pre-storm land surface on the monsoon depressions (MDs) is studied. The Weather Research Forecast (WRF) model was configured with two nested domains to explore the sensitivity of MDs to antecedent soil moisture and land surface representation for selected three landfalling MDs during August 2006. Results indicate that WRF had good ability to simulate the MDs, and the post land...

Numerical and observational studies have documented the climatic importance of land surface variability, especially in soil moisture and surface roughness. Land surface representations within global c h a t e models, however, have been based on global vegetation data sets that characterize the surface as invariant at scales smaller than about (100 km12. Within climate model grid areas, the vege...

study of soil quality indicators were considered as a useful method in the land use management. changing the land use affect soil hydrological processes such as water infiltration process. spatial variation of water infiltration in soil plays a very important role in hydrologic processes. variability of this process is affected by the inherent and non-inherent characters of the lands. in order ...

Climate impacts of land cover change (LCC) are still a subject of discussion despite growing evidence that LCC affects global and regional climates (Zhao et al. 2001; Timbal and Arblaster 2006; Pielke et al. 2002; Narisma and Pitman 2003). To investigate the climate impacts of LCC, this paper presents results for two sets of 10 member ensemble experiments using CSIRO atmospheric GCM. The CSIRO ...

The paper summarizes the preliminary results from the analysis of data collected during the 2008 and 2009 vegetative seasons in a northern Italy vineyard (Vitis vinifera L., Barbera variety) and the simulations carried out in the same period with the land surface model UTOPIA. The aim of the work is to study the influence of the meteorological factors on the plant conditions. We collected a set...

[1] Under-catch errors in precipitation gauge records can be as large as 50–100% during the cold season at high latitudes. To quantify the impacts of these errors on hydrometeorological fields, a comprehensive land surface model, namely the Community Land Model version 3 (CLM3), is run forced with (COF) and without (CON) precipitation-bias corrections and other identical atmospheric forcing fro...