http://www.cpcgis.ncep.noaa.gov
gov.noaa.cpc:LeakBuck
Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
20080101
CPC Leaky Bucket Model: Soil Moisture, Evaporation, Runoff
raster digital data, vector digital data
Camp Springs, MD
Climate Prediction Center
http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/index.shtmlhttp://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/index.shtml
http
web browser
CPC Land Surface Monitoring and Prediction Leaky Bucket Model
Information on the Bucket Model calculation and input data.
information
This dataset includes a series of digital maps displaying CPC calculated soil moisture (total, anomalies and percentiles), evaporation and runnof (mean, anomalies and percentiles) for the most recent day, monthly and 12 months for the Continental U.S. The soil moisture is calculated using a one-layer hydrological (Leaky Bucket) water balance model with precipitation, evaporation, runoff (or streamflow divergence), and groundwater loss as the components of the water balance. The model uses observed precipitation and temperature to calculate soil moisture, evaporation and runoff. The potential evaporation is estimated from the observed temperature. The soil moisture is modeled to the extent it participates in land surface processes, which is usually the upper 1 to 2 meters of soil. The model is tuned based on observed runoff data resulting in a maximum holding capacity of 760mm of water. This implies a soil column depth of 1.6 meters in the model with a common porosity of 0.47.
The land surface meteorological datasets used to drive the soil moisture model include the Monthly U.S. Climate Divisional data (approximately 344 Climate Divisions) from NCDC for 1931 to present, and real-time daily temperature data (CPC in-house product) and real-time precipitation data from daily observing stations with a one day lag. The divisional climate data are used for the monthly calculations, and the real-time data are used for recent daily calculations until the divisional data are available from NCDC. Daily station data from 138 Cooperative Observer stations are also used for some specialized questions that require the use of daily data. The soil moisture anomaly departure (in mm) is from the 1971-2000 climatology, and the ranking percentiles are based on the period from 1932 to present. A Cressman scheme analysis is used as the interpolation method to contour plot the resulting soil moisture for the Climate Divisions.
To provide drought monitoring support for the National Integrated Drought Information System (NIDIS), researchers and the general public.
Fan, Y.
van den Dool, Huug
2004
Climate Prediction Center global monthly soil moisture data set at 0.5 degree resolution for 1948 to present
Journal of Geophysical Research Atmospheres, Vol. 109
D10102
Washington, DC
American Geophysical Union (AGU)
doi:10.1029/2003JD004345
http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/Papers/2003JD004345.pdfhttp://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/Papers/2003JD004345.pdf
http
web browser
Climate Prediction Center global monthly soil moisture data set at 0.5 degree resolution for 1948 to present
A PDF copy of the publication (1.1 MB).
download
Huang, J.
van den Dool, Huug
Georgakakos, K.P.
1996
Analysis of Model-Calculated Soil Moisture over the United States (1931-1993) and Application to Long-Range Temperature Forecasts
Journal of Climate, Vol. 9
No.6, 1350-1362
Boston, MA
American Meteorological Society (AMS)
http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/Papers/huang_etal_1996.pdfhttp://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/Papers/huang_etal_1996.pdf
http
web browser
Analysis of Model-Calculated Soil Moisture over the United States (1931-1993) and Application to Long-Range Temperature Forecasts
A PDF copy of the publication (1.4 MB).
download
van den Dool, Huug
Huang, J.
Fan, Y.
2003
Performance and analysis of the constructed analogue method applied to U.S. soil moisture over 1981-2001
Journal of Geophysical Research Atmospheres, Vol. 108
No. D16
Washington, DC
American Geophysical Union (AGU)
doi:10.1029/2002JD003114
http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/Papers/2002JD003114.pdfhttp://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/Papers/2002JD003114.pdf
http
web browser
Performance and analysis of the constructed analogue method applied to U.S. soil moisture over 1981-2001
A PDF copy of the publication (700 KB).
download
data set
Unknown
NOT APPLICABLE
National Integrated Drought Information System (NIDIS)
DOC/NOAA/NWS/NCEP/CPC > Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
Fan, Y., and H. van den Dool (2004), Climate Prediction Center global monthly soil moisture data set at 0.5 degree resolution for 1948 to present, J. Geophys. Res., 109, D10102, doi:10.1029/2003JD004345.
Huang, J., H. M. van den Dool, and K. G. Georgakakos (1996), Analysis of model-calculated soil moisture over the US (1931-1993) and applications to long range temperature forecasts, J. Clim., 9, 1350-1362.
Van den Dool, H., J. Huang, and Y. Fan (2003), Performance and analysis of the constructed analogue method applied to U.S. soil moisture over 1981-2001, J. Geophys. Res., 108(D16), 8617, doi:10.1029/2002JD003114.
http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/index.shtmlhttp://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/Figures/daily/curr.w.full.daily.gifhttp://www.cpc.ncep.noaa.gov/cgi-bin/SOIL-MOISTURE-GIS-data.sh
20080101
Present
Ground condition
As needed
-125.0
-66.0
50.0
24.0
ISO 19115 Topic Category
climatologyMeteorologyAtmosphere
004
farming
001
NASA/GCMD Science Keywords
Agriculture > Soils > Soil Moisture/Water Content
Atmosphere > Atmospheric Phenomena > Drought
EARTH SCIENCE > Land Surface > Soils > Soil Moisture/Water Content
GCMD Earth Science Services Keywords
Models > Land Surface Models
NASA/GCMD Location Keywords
Continent > North America > United States Of America
NASA/GCMD Location Keywords
Vertical Location > Land Surface
National Integrated Drought Information System (NIDIS)
MODELS
NOT APPLICABLE
None
Acknowledgement of the Data Originator (NOAA/NWS/NCEP/Climate Prediction Center) when using the Product as a source.
Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
Yun Fan
Research Scientist
mailing
NOAA/Climate Prediction Center 5200 Auth Rd. Room 605
Camp Springs
MD
20746
USA
301-763-8000 (ext 7533)
301-763-8395
yun.fan@noaa.gov
9:00 AM to 3:00 PM Eastern
http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/Figures/daily/curr.w.full.daily.ncsp.gif
This dataset includes a series of digital maps displaying Climate Prediction Center (CPC) calculated soil moisture (total, anomalies and percentiles), evaporation and runoff (mean, anomalies and percentiles) for the most recent day, monthly and 12 months.
GIF
The CPC model does well on independent soil moisture data observed in Illinois. Both the annual cycle and interannual soil moisture anomalies are fairly well simulated. The anomaly correlation is about 0.60-0.75 over the state during the 1984-2001 period. Reference: Fan, Y., and H. van den Dool (2004), Climate Prediction Center global monthly soil moisture data set at 0.5 degree resolution for 1948 to present, J. Geophys. Res., 109, D10102, doi:10.1029/2003JD004345.
Soil moisture data for the lower 48 contiguous states (CONUS) may display abrupt discontinuities near political and geographical borders. The coarse model output (at the Climate Divisions) may neglect local meteorological and hydrological effects. Also, the Cressman analysis used to contour plot the data may create unrealistic values, especially in the boundary area and in areas with large gradients.
The daily station precipitation data tend to be heavier compared to the U.S. Climate Division data, and thus problems may occur from using the real-time station data in the soil moisture calculations for the current month until better source data are available.
The soil moisture is calculated using a one-layer hydrological (Leaky Bucket) water balance model with precipitation, evaporation, runoff (or streamflow divergence), and groundwater loss as the components of the water balance. The model uses observed precipitation and temperature to calculate soil moisture, evaporation and runoff. The potential evaporation is estimated from the observed temperature. U.S. Climate Divisional data are used for the monthly calculations, and real-time temperature and precipitation data are used for recent daily calculations. Daily station data from 138 Cooperative Observer stations are also used for some specialized questions that require the use of daily data. A series of digital maps displaying CPC calculated soil moisture, anomalies and percentiles for the most recent day, monthly and 12 months for the Continental U.S. are produced from the calculations. A Cressman scheme analysis is used as the interpolation method to contour plot the resulting soil moisture for the Climate Divisions.
Not complete
The Product comprises of calculated soil moisture, anomalies and percentiles for the most recent day, monthly and 12 months for the Continental U.S.
http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/index.shtml
Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
Yun Fan
Research Scientist
mailing
NOAA/Climate Prediction Center 5200 Auth Rd. Room 605
Camp Springs
MD
20746
USA
301-763-8000 (ext 7533)
301-763-8395
Yun.Fan@noaa.gov
9:00 AM to 3:00 PM Eastern
001
The distributor of these data assumes no liability, nor does the fact of distribution constitute such a responsibility.
SHP, SHX, DBF, PRJ, TIF
Files are Zip compressed.
http://www.cpc.ncep.noaa.gov/cgi-bin/SOIL-MOISTURE-GIS-data.shhttp://www.cpc.ncep.noaa.gov/cgi-bin/SOIL-MOISTURE-GIS-data.sh
http
web browser
CPC Soil Moisture GIS Data
GIS data files available for download are listed by day and month per product type.
download
On-line data downloads are free.
20080521
20080521
DOC/NOAA/NESDIS/NCDC > National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce
Customer Services Branch
mailing and physical
151 Patton Avenue
Room 468
Asheville
North Carolina
28801-5001
USA
828-271-4800
828-271-4010
828-271-4876
ncdc.metadata@noaa.gov
8:00 - 6:00 Eastern
http://www.ncdc.noaa.gov/oa/about/ncdccontacts.html
Content Standard for Digital Geospatial Metadata: Extensions for Remote Sensing Metadata
FGDC-STD-012-2002
http://www.ngdc.noaa.gov/metadata/extensions/local_extensions.html
NGDC Extensions to FGDC Metadata
http://www.fgdc.gov/standards/projects/FGDC-standards-projects/csdgm_rs_ex/MetadataRemoteSensingExtens.pdfhttp://www.fgdc.gov/standards/projects/FGDC-standards-projects/csdgm_rs_ex/remote-sensing-metadata
Content Standard for Digital Geospatial Metadata: Extensions for Remote Sensing Metadata, FGDC-STD-012-2002
http://www.eis.noaa.gov/fgdc/fgdcleg.html
NOAA Supplemental Information in Description (NOAA legacy extension to FGDC)
http://www.esri.com/metadata/esriprof80.html
ESRI Profile of the Content Standard for Digital Geospatial Metadata