Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
Authors: |
|
|
---|---|---|
Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
Type: | Resource | |
Storage: | The size of this resource is 108.9 MB | |
Created: | Jan 09, 2020 at 4:47 a.m. | |
Last updated: | Aug 17, 2020 at 7:10 a.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
---|---|
Views: | 1121 |
Downloads: | 27 |
+1 Votes: | Be the first one to this. |
Comments: | No comments (yet) |
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).
Subject Keywords
Coverage
Spatial
Temporal
Start Date: | |
---|---|
End Date: |
Content
readme.txt
File name convention I. Grid data (ESRI ascii format) File name has the following format: Variable_time period-time period2.ASC (1) Variable field Rn: net radiation LE: latent heat flux H: sensible heat flux G: flux going into water body U: wind speed at 10 m (2) time period field YYYY: year (such as 2008 or 2012) 5Y: five year average from 2008-2012 (3) time period2 field SON: Fall (Sept-Oct.-Nov) average MAM: Spring (March-April-Mary) average JJA: Summer (June-July-August) average JAS: Summer (July-August-Sept.) average DJF: Winter (Dec-Jan-Feb) average II. Time series data (Excel file) Only one file (MonthlyEnergyRadiationData_2008-12_monthly.xlsx) excists. The excel file contains seven sheets with the following name format: Variable_tume period_time step (1) Variable field Rlu: downward longwave radiation Rsd: downward shortwave radiation G: flux going into lake water body LE: latent heat flux H: sensible heat flux Rn: net radiation (2) period field (fixed) 2008-2012 (3) time step field (fixed) monthly In each sheet, data are given in the following format Date (YYYY/MM/DD), Monthly meant (W/m2), Number of data used to derive spatial means, Standard deviation (W/m2). DD of the data field is fixed as "15".
Additional Metadata
Name | Value |
---|---|
G | Flux going into lake water body (W/m2) |
H | Sensible heat flux |
U | Mean wind speed at 10 m (m/s) |
LE | Latent heat flux (W/m2) |
Rn | Net radiation (W/m2) |
Related Resources
This resource is referenced by | Sugita, M., Ogawa, S., and Kawade, M. (2020): Wind as a main driver of spatial variability of surface energy balance over a shallow 10^2-km^2 scale lake: Lake Kasumigaura, Japan, Water Resources Research, doi: 10.1029/2020WR027173. |
The content of this resource is derived from | Meteorological data routinely measured by the Kasumigaura River Office of the Kanto Regional Development Bureau, Ministry of Land, Infrastructure, Transport, and Tourism of Japan |
The content of this resource is derived from | Meteorological data routinely measured by the Lake Kasumigaura Water Research Station of the National Institute for Environmental Studies |
The content of this resource is derived from | Meteorological data routinely measured by the Japan Meteorological Agency |
The content of this resource is derived from | Meteorological data routinely measured by Hyakuri Air Base, Japan Air Self-Defence Force |
The content of this resource is derived from | Atmospheric environment data routinely measured by the National Institute for Environmental Studies |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
---|---|---|
The Japan Society for the Promotion of Science | KAKENHI | 15K01159 |
The Japan Society for the Promotion of Science | KAKENHI | 20H01384 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment