The diurnal temperature range (DTR) at weather observation stations that make up the U.S. Historical Climatology Network was evaluated with respect to the predominant land use/land cover associated with the stations within three radii intervals (100, 1000, and 10 000 m) of the stations. Those stations that were associated with predominantly rural land use/land cover (LULC) usually displayed the greatest observed DTR, whereas those associated with urban related land use or land cover displayed the least observed DTR. The results of this study suggest that significant differences in the climatological DTR were observed and could be attributed to the predominant LULC associated with the observation stations. The results also suggest that chang...
Using rural/urban land surface classifications derived from maps and satellite observed nighttime su...
The diurnal temperature range (DTR) of surface air over land varies geographically and seasonally. T...
Many researchers are presently interested in detecting long-term trends in annual or seasonal daily ...
The 1221 weather observation stations that compose the U.S. Historical Climatology Network were desi...
The 1221 weather observation stations that compose the U.S. Historical Climatology Network were desi...
Diurnal temperature range (DTR) is an important climate change index. Information on this parameter ...
Temperature trends result from natural and anthropogenic factors. The latter was first seen as the r...
The NCAR Community Atmosphere Model (CAM4.0) was used to investigate the climate effects of land use...
[1] Diurnal temperature range (DTR) is an important climate change index. Information on this parame...
Diurnal temperature range (DTR) declined over global land during 1950-2004. Climate model simulation...
The 1221 weather observation stations that compose the U.S. Historical Climatology Network were desi...
This study examines the relationship between diurnal temperature range (DTR) and land use/land cover...
This study examines the relationship between diurnal temperature range (DTR) and land use/land cover...
AbstractDiurnal temperature range (DTR) is an important indicator for climate change. In this paper,...
Using rural/urban land surface classifications derived from maps and satellite observed nighttime su...
Using rural/urban land surface classifications derived from maps and satellite observed nighttime su...
The diurnal temperature range (DTR) of surface air over land varies geographically and seasonally. T...
Many researchers are presently interested in detecting long-term trends in annual or seasonal daily ...
The 1221 weather observation stations that compose the U.S. Historical Climatology Network were desi...
The 1221 weather observation stations that compose the U.S. Historical Climatology Network were desi...
Diurnal temperature range (DTR) is an important climate change index. Information on this parameter ...
Temperature trends result from natural and anthropogenic factors. The latter was first seen as the r...
The NCAR Community Atmosphere Model (CAM4.0) was used to investigate the climate effects of land use...
[1] Diurnal temperature range (DTR) is an important climate change index. Information on this parame...
Diurnal temperature range (DTR) declined over global land during 1950-2004. Climate model simulation...
The 1221 weather observation stations that compose the U.S. Historical Climatology Network were desi...
This study examines the relationship between diurnal temperature range (DTR) and land use/land cover...
This study examines the relationship between diurnal temperature range (DTR) and land use/land cover...
AbstractDiurnal temperature range (DTR) is an important indicator for climate change. In this paper,...
Using rural/urban land surface classifications derived from maps and satellite observed nighttime su...
Using rural/urban land surface classifications derived from maps and satellite observed nighttime su...
The diurnal temperature range (DTR) of surface air over land varies geographically and seasonally. T...
Many researchers are presently interested in detecting long-term trends in annual or seasonal daily ...