Michiaki Sugita
University of Tsukuba
| Subject Areas: | Hydrology |
Recent Activity
ABSTRACT:
Energy and radiation balance maps of Lake Kasumigaura, a 172-km2 shallow lake in Japan, with a 90-m spatial resolution were created at a 3-hour interval over 5 years of 2008-2012 based on spatially interpolated meteorological variables and water surface temperature, with turbulent fluxes estimated by the bulk equations. The data set consists of two types: monthly time series data (excel file) and grid data covering Lake Kasumigaura (ESRI Ascii grid file). The first one is (1) Monthly mean values of spatially averaged energy and radiation balance components. The second type includes (2) 5-year mean values of energy and radiation balance components, (3) Annual mean values of energy and radiation balance components, (4) seasonal mean energy and radiation balance components averaged over 5-years, (5) 5-year mean wind speed, and (6) Seasonal mean wind speed averaged over 5-years. Details of the methods are explained in Sugita et al. (2020).
Contact
| (Log in to send email) |
| All | 0 |
| Collection | 0 |
| Resource | 0 |
| App Connector | 0 |
Created: Jan. 9, 2020, 4:47 a.m.
Authors: Sugita, Michiaki · Shinpei Ogawa · Marina Kawade
ABSTRACT:
Energy and radiation balance maps of Lake Kasumigaura, a 172-km2 shallow lake in Japan, with a 90-m spatial resolution were created at a 3-hour interval over 5 years of 2008-2012 based on spatially interpolated meteorological variables and water surface temperature, with turbulent fluxes estimated by the bulk equations. The data set consists of two types: monthly time series data (excel file) and grid data covering Lake Kasumigaura (ESRI Ascii grid file). The first one is (1) Monthly mean values of spatially averaged energy and radiation balance components. The second type includes (2) 5-year mean values of energy and radiation balance components, (3) Annual mean values of energy and radiation balance components, (4) seasonal mean energy and radiation balance components averaged over 5-years, (5) 5-year mean wind speed, and (6) Seasonal mean wind speed averaged over 5-years. Details of the methods are explained in Sugita et al. (2020).