10. COMPILATION OF DATA SETS
The intent of GCIP researchers to rely as much as possible on existing data centers as the archive location of GCIP data means that data sets will be geographically distributed among these data centers. The GCIP-DMSS is compiling a centralized set of information on the data sets. In some cases, this set consists of a directory and inventory of the data set, and in other cases it consists of only directory information with the inventory information available from the data center where the data set is stored. A tactical data collection and management plan is prepared for each definable data set compiled by the Project. This plan is converted to a data summary report when the compiled data set is completed.
A number of GCIP initial data sets (GIDS) were prepared to provide the data services support during the build-up period before the Five-year Enhanced Observing Period (EOP). Preparation of the GIDS started in 1993, and the data sets were compiled for on-line access by GCIP investigators to the extent that is technically feasible. They were also published on a CD-ROM for wide distribution, especially to international persons interested in performing initial diagnostic, evaluation, and modeling studies on GCIP-related topics. A summary description of the four composite data sets which comprised the GIDS series is given in Appendix E.
The EOP started on 1 October 1995 and is continuing for five
years. The start date of 1 October was in part chosen to
correspond to the start of a "water year" as used by the Water
Resources groups in organizations such as the U.S Geological
Survey. The availability of water data including streamflow data
from the USGS National Water Information System is based on the
water year. Such data are normally available from this system
about six to nine months after the end of the water year. The
availability date of these data becomes a primary determining
factor in the schedule for the completion of EOP data sets by the
GCIP data management system. The data collected during each EOP
year are being compiled into a number of standard and custom data
sets.
10.1 Compiled Data Sets
The compiled data sets are any GCIP data compiled for a GCIP
user or set of users in such a way as to facilitate ease of
accessing and using the data. For purposes of organizing the
data compilation activity, three different types of compiled data
sets are recognized:
A standard data set is one with specifications that are
agreed to before the data collection period starts so that
standing orders can be provided to the data centers. Agreement
on the specifications will be reached at the project level and
funded on a year-by-year basis.The primary purpose of the
standard data sets is to give wide distribution to specific GCIP
data to encourage analysis, research, and modeling studies. The
current plans for compiling GCIP standard data sets are
summarized in Figure 10-1. Further details about each of the
standard data sets are given in the remainder of this section.
Figure 10-1 Compiled and Planned Standard Data Sets for GCIP Research.
A custom data set is one that is either distributed or
compiled at a central location and made easily accessible for a
group research effort. Applications of custom data sets include
validation and/or comparison of algorithms, energy and water
budget studies, and model evaluation studies. The primary
purpose is to facilitate "group" research efforts. The group
requesting the data set will agree to the specifications for the
custom data sets. Requests will be submitted to the GCIP office
for funding the preparation of the custom data set. Funds will
be identified by the Project for each custom data set at the time
the request is approved.
The primary purpose of the as requested data set is to
enable any user to order a data set with individual
specifications from any of the individual data sets listed in the
GCIP master catalog or data set guides. The GCIP-DMSS will
provide assistance to the user to compile information about data
availability to facilitate ordering data sets to specification.
Incremental costs for compiling and distributing an as requested
data set will in most cases be borne by the user making the
request.
10.2 Near Surface Observation Data Set
Since 1993, GCIP has been working in cooperation with other
projects and activities in the Arkansas-Red River basin to
compile datasets for GCIP research activities. These include the
Atmospheric Radiation Measurement (ARM) program, the
USDA/Agriculture Research Service in El Reno, OK and the Oklahoma
Climate Survey. GCIP has also supported enhancements to existing
observation networks to obtain observations crucial for studying
and modeling land surface processes and the coupling of these
processes with the atmosphere. The support for soil moisture and
soil temperature profile measurements in the ARM/CART site and
the Little Washita Watershed (shown in Figure 7-1) is
particularly noteworthy.
The implementation of this enhanced observation capability
has advanced to where it is now feasible to compile a special
dataset for land surface and boundary layer studies and modeling.
The GCIP/DACOM has compiled a set of data requirements that will
be suitable for:
It was pointed out in Section 2.4 that one of the three
objectives for model output is - to produce a quantitative
assessment of the accuracy and reliability of the model
assimilated and derived variables for applications to energy and
water budgets. The successful achievement of this objective
entails an extensive evaluation of both the model output and the
derived variables. All of the evaluations require a lengthy
series of observed data for those variables considered
significant . As a start on this evaluation effort, GCIP is
compiling a special data set of observations for as many of the
variables as reasonably available.
10.2.1 Summary Description of a Near-Surface Observation Dataset
The vertical dimension will include from 3000 meters above
the surface to two meters below the surface. The specific types
of observations are listed in Table 10-1 which is divided into
three parts:
1. Boundary Layer (Z < 3000 meters)
2. Surface Layer (0 < Z < 10 meters)
3. Subsurface Layer (-2 < Z < 0 meters)
Table 10-1: Near Surface Observation Types in each Layer |
1. Boundary Layer Z < 3000 meters
1.2 Water vapor profiles 1.3 Wind profiles 1.4 Clouds |
2. Surface (0 < Z <10 meters)
Temperature at 2 m Specific humidity at 2 m Surface pressure
Surface V wind stress
Surface sensible heat flux Soil heat flux to Surface 2.5 Precipitation (including snow) 2.6 Surface Radiation
Upward shortwave (albedo) Downward longwave Upward longwave Net radiation (measured) Photosynthetically Active Radiation (PAR) 2.8 Vegetation type and characteristics 2.9 Site Description |
3. Sub-surface (-2 < Z < 0 meters)
3.2 Soil temperature (profiles) 3.3 Soil physical and hydraulic properties 3.4 Wilting point 3.5 Rooting zone 3.6 Field capacity |
The land surface studies and models can use the data at
point locations to force land surface models or can make use of
the observations to complete an area analysis for different size
areas within the ARM/CART site and the Little Washita Watershed.
The difficulty in achieving a consensus on the techniques for an
area analysis has necessitated a decision to compile data as
close as possible to an observational measurement. This will
enable an investigator to use whatever analysis techniques are
deemed appropriate for their specific research.
10.2.2 Data Collection Schedule for Near Surface Observation Data Set
In order to maximize the number of observed variables this
special data set is focused on the region of the ARM/CART site
and the Little Washita Watershed during the period April 1, 1996
through March 31, 1998. If data exchange issues can be resolved
with the Oklahoma climate survey, the NESOB data sets will also
include data from the Oklahoma Mesonet. Plans to continue
compiling NESOB data sets beyond March 1998 are indicated in Figure 10-1.
10.3 Model Output During the EOP
The plans for model output data are remaining fairly
constant during the five year EOP as indicated in Table 10-2.
There are no plans to subset the model output data by
geographical coverage. Emphasis is on the atmospheric regional
model output as given in the top part of Table 10-2. The regional
model output is divided into three types:
(1) One-dimensional vertical profile and surface time
series at selected locations referred to as Model Location Time Series (MOLTS)
(2) Gridded two-dimensional fields, especially ground
surface state fields, ground surface flux fields, top-of-the-atmosphere (TOA)
flux fields, and atmospheric fields referred to as Model Output Reduced Data Sets (MORDS)
(3) Gridded three-dimensional atmospheric fields
containing all of the atmospheric variables produced by
the models.
Further details on the regional model output is given in
Appendix B.
Table 10-2. Model Output Data for CSA During the EOP | |
DATA DESCRIPTION | DATA AVAILABILITY |
MODEL DATA | ||
Atmospheric Regional Models | Module | Center |
Eta Data Assimilation System (EDAS) (3-hrly) | X | |
Eta Model Forecast (12-hrly) | X | |
Eta Model Initialization Analysis GIF Imagery (daily; UTC) | UCAR/JOSS | |
Eta Model Location Time Series (hrly) (MOLTS) | X | |
Eta Model Reduced Data Set (3-hrly) (MORDS) | X | |
Eta Fixed Fields (including land surface) | X | |
RFE Model Analyses (8-hrly) (MORDS) | X | |
RFE Model Forecasts (12-hrly) (MORDS) | X | |
RFE 3-D Fields | AES/CMC | |
RFE Model Location Time Series (hrly) | X | |
RFE Fixed Fields (including land surface) | X | |
MAPS Model Output 3-D Fields | NOAA/FSL | |
MAPS Model Output (MOLTS & MORDS) | X | |
Atmospheric Global Models | ||
NMC Medium Range Forecasts (MRF) (12-hrly) | NCAR/DSS | |
CMC Global Spectral Model (12-hrly) | AES/CMC | |
ECMWF Medium Range WX Fost Model (Daily) | ECMWF | |
NMC Climate Data Assimilation System (CDAS) (Daily) | NCAR/DSS | |
Hydrology Models | ||
RFC Hydrology Model Data (8-hrly) | TBD | TBD |
Derived Data Products | ||
National Precipitation Analysis (Daily) | X | NCAR/DSS |
10.4 Data Collection for ESOP-96
The ESOP-96 data can be divided into three major data
categories: In situ, satellite, and model. The responsibility in
data collection will fall under each module of the GCIP Data
Management and Service System (DMSS) described in Section 9.
Although most of the data sources are operational in nature,
special arrangements were made to obtain these data in the
highest resolution possible. Table 10-3 summarizes the
individual datasets comprising the ESOP-96. In addition, an
initial phase of compiling a near surface observational data set
from the Little Washita Watershed and the ARM/CART site was
completed for the period of April to September 1996 (see Section
10.2 for further details). The ESOP -96 Tactical Data Collection
and Management Plan provides more details including a brief
description of each dataset with information regarding data
collection, processing, and final archival and information on
dataset dissemination after the compilation is completed in
December 1997. Information on the final ESOP-96 datasets will be
provided in the ESOP-96 Tactical Data Collection and Management
Report to be completed after the data compilation is complete.
TABLE 10-3 Datasets comprising the ESOP-96 | ||
IN-SITU DATA
FAA Automated Weather Observing System (AWOS) Data Surface Aviation Observations (SAO) Hourly Data SAO Special Observation Data High Plains Climate Network (HPCN) Data Oklahoma Mesonet Data USDA/Agricultural Research Service (ARS) Little Washita Watershed Micronet CoAgMet Hourly Data Missouri Commercial Agriculture Weather Station (CAWS) Network Data Missouri Department of Conservation Fire Weather Network Data NMSU Monitored Climate Station Network Data NOAA Profiler Network (NPN) Surface Observations DOE ARM/CART Surface Meteorological Data DOE ARM/CART Radiation Data DOE ARM/CART EBBR and ECOR Data DOE ARM/CART SWATS Data USDA/ARS Little Washita Soil Moisture Data USDA/NRCS Soil Moisture Data NOAA/GEWEX Long-term Flux Monitoring Site Data NWS Cooperative Observer Daily Observations NWS Cooperative Observer Precipitation Data ABRFC Precipitation Data US Army Corps of Engineer (USACE) Precipitation and Streamflow Data USGS Precipitation and Streamflow Data USGS Reservoir Data ESOP-96 Hourly Surface Composite ESOP-96 5-min Surface Composite ESOP-96 Hourly Precipitation Composite ESOP-96 15-min Precipitation Composite ESOP-96 Daily Precipitation Composite
WSR-88D NIDS Data WSI Reflectivity Composite Imagery ABRFC Stage III WSR-88D Data (including daily GIF imagery) NASA/MSFC National Reflectivity Composite
Little Washita River Basin Soils and Land Cover SATELLITE DATA
|
GOES-8/9 VAS Data/Derived Products NOAA POES AVHRR Imagery NOAA POES TOVS Data DMSP SSM/I Data/Imagery NOAA Weekly Northern Hemisphere Snow Cover Analysis GOES/ASOS Cloud Observations CLAVR Clouds Satellite Radiation Datasets EDC Bi-weekly Vegetation Index CAGEX Products MODEL OUTPUT
|
NOAA/NCEP Eta Model Output NOAA/NCEP Eta Model 12 UTC Initial Analysis Daily GIFs NOAA/FSL MAPS Model Output MOLTS Output MOLTS Derived Sounding Output MORDS Output
|
The plans for data collection for the second year of the EOP took account of the following general requirements.
(i) The ESOP-97 was held for the period 1 October 1996 through 31 May 1997 in the geographical region identified as the LSA-NC for data to conduct focused studies on cold season/region hydrometeorology.
(ii) The CSA data requirements are continuing for energy and water budget studies with an increase in emphasis on model evaluation for the regional model output.
(iii) Annual data sets for the LSA-SW and LSA-NC are required for energy and water budgets over an annual cycle plus model evaluations of the regional model output.
A summary listing of the data collection plans for ESOP-97 is given in Table 10-4.
The ESOP-97 Tactical Data Collection and Management Plan provides more details including a brief description of each dataset with information regarding data collection, processing, and final archival and information on dataset dissemination after the compilation is completed in June 1998.
TABLE 10-4. Datasets comprising the ESOP-97 |
IN-SITU DATA
Automated Weather Observing System (AWOS) Data Surface Airways Observations (SAO) Hourly Data SAO Special Observation Data NOAA Profiler Network (NPN) Surface Data Long-Term Ecological Research (LTER) Site Data Canadian Surface Observations NWS Cooperative Observer Daily Observations NWS Cooperative Observer Precipitation Data United States Army Corps of Engineer (USACE) Precipitation and Streamflow Data United States Geological Survey (USGS) Streamflow Data United States Department of Agriculture/Natural Resources Conservation Service (USDA/NRCS) Soil Moisture Data USDA/NRCS Soil Moisture/Soil Temperature (SM/ST) Data USGS Reservoir Data SURFRAD Data
Deparment of Energy (DOE) ARM/CART Surface Meteorological Data Great Lakes Meteorological Data Management Systems Evaluation Areas (MSEA) Project Data North Central River Forecast Center (NCRFC) Precipitation Data NCRFC Winter Graphical Products and Data DOE ARM/CART Soil Water and Temperature System (SWATS) Data Wisconsin and Illinois Gravediggers Network Data DOE ARM/CART Radiation Data DOE ARM/CART Energy Balance Bowen Ratio (EBBR) and Eddy Correlation (ECOR) Data USGS/Scientific Assessment and Strategy Team (SAST) Data National Ice Center (NIC) Great Lakes Ice Data ESOP-97 Hourly Surface Composite ESOP-97 Hourly Precipitation Composite ESOP-97 Daily Precipitation Composite
Chicago Deicing Project Mesonet Data Illinois Climate Network (ICN)Data Cook County, Illinois Precipitation Network Data Imperial Valley Water Authority Precipitation Network Data Illinois State Water Survey (ISWS) Soil Moisture Data ISWS Wells Data
Walnut Creek Watershed Precipitation Data Davenport Iowa ALERT Network Data Iowa State University (ISU) Soil Moisture Survey Data Walnut Creek Watershed Surface and Groundwater Data Walnut Creek Watershed Energy Balance and Evapotranspiration Monitoring Network Data
Minnesota Road Research Project (Mn/ROAD) Data Minnesota Extension Climatology Network Data University of Minnesota (UM) Watershed Project Data Minnesota Pollution Control Agency (MPCA) Watershed Project Data UM Rosemount Experiment Station Data Other UM Experiment Station Data USGS Interdisciplinary Research Initiative (IRI) Site Data Minnesota Precipitation Network Data
Missouri Department of Conservation Fire Weather Network Data Missouri Air Pollution Control Program Network Meteorological Data
North Dakota Atmospheric Resources Board Cooperative Rain Gage Network Data
Wisconsin Department of Transportation (DOT) Network Data Wisconsin DNR Fire Weather Network Data Wisconsin DNR Air Quality Network Data Wisconsin Tower Flux Measurement Data USDA/NRCS Wisconsin Dense Till (WDT) Data
NWS Upper Air Rawinsonde Data (mandatory/significant levels) DOE ARM/CART Site Upper Air Data Canadian Upper Air Rawinsonde Data (10-sec vertical levels) Canadian Upper Air Rawinsonde Data (mandatory/significant levels) NOAA Profiler Network Data Boundary Layer Profiler Data
WSR-88D NIDS Data WSI Reflectivity Composite Imagery NCRFC Stage III WSR-88D Data NASA/MSFC National Reflectivity Composite
Walnut Creek Watershed Soil Characterization Data |
SATELLITE DATA
NOAA POES AVHRR Imagery NOAA POES TOVS Data DMSP SSM/I Data/Imagery NOAA Weekly Northern Hemisphere Snow Cover Analysis GOES/ASOS Cloud Observations CLAVR Clouds Satellite Radiation Datasets EDC Bi-weekly Vegetation Index NOAA Airborne Gamma Snow Survey Data NOAA/NOHRSC Satellite-Derived Snow Extent Data |
MODEL OUTPUT
NOAA/NCEP Eta Model Output NOAA/NCEP Eta Model 12 UTC Initial Analysis Daily GIFs NOAA/FSL MAPS Model Output MOLTS Output MOLTS Derived Sounding Output MORDS Output
|
The data collection plans during WY 1998 takes account of the following known requirements :
(i) The ESOP-98 is scheduled for the period 1 October 1997 through 31 May 1998 in the geographical region identified as the LSA-NC for data to continue focused studies on cold season/region hydrometeorology. The specific data requirements are expected to be very similar to those for ESOP-97 with some modifications based on items learned during the ESOP-97.
(ii) The CSA data requirements continue for energy and water budget studies with increasing emphasis on interseasonal and interannual variability. Coupled modeling validation and evaluation will begin for the CSA.
(iii) An annual data set for the LSA-NC and LSA-E is required for energy and water budgets over an annual cycle plus model evaluations of the regional model output.
(iv) Data collection requirements for the LSA-SW are projected to continue but the specific requirements are not yet defined.
The proposed data sets for the LSA-E are shown in Table 10-5 for in-situ data and Table 10-6 for satellite remote sensing data. The current plans for model output data for the LSA-E are the same as that given in Table 10-2 for the CSA.
Table 10-5. Proposed In-Situ Data for LSA-E During WY 1998 and WY 1999. |
IN-SITU DATA
Automated Weather Observing System (AWOS) Data Surface Airways Observations (SAO) Hourly Data SAO Special Observation Data NOAA Profiler Network (NPN) Surface Data Long-Term Ecological Research (LTER) Site Data Canadian Surface Observations NWS Cooperative Observer Daily Observations NWS Cooperative Observer Precipitation Data United States Army Corps of Engineer (USACE) Precipitation and Streamflow Data United States Geological Survey (USGS) Streamflow Data USDA/NRCS Soil Moisture/Soil Temperature (SM/ST) Data USGS Reservoir Data SURFRAD Data Regional
TVA Nuclear Power Plant Meteorological Station Data Regional Atmospheric Monitoring and Analytical Network (RAMAN) Data USDA/Agricultural Research Service (ARS) Meteorological and Soils Data Great Lakes Meteorological Data NOAA River Forecast Center (RFC) Precipitation Data RFC Graphical Products and Data Wisconsin and Illinois Gravediggers Network Data USGS/Scientific Assessment and Strategy Team (SAST) Data National Ice Center (NIC) Great Lakes Ice Data LSA-E Hourly Surface Composite LSA-E Hourly Precipitation Composite LSA-E Daily Precipitation Composite
Redstone Arsenal Mesonet Data
Georgia Automated Environmental Monitoring Network Data Georgia Forestry Commission Automated Weather Station Network Data
Illinois Climate Network (ICN) Data Cook County, Illinois Precipitation Network Data Imperial Valley Water Authority Precipitation Network Data Illinois State Water Survey (ISWS) Soil Moisture Data ISWS Wells Data
University of Kentucky Research Farm Meteorological Data
Walker Branch Watershed Meteorological and Hydrological Data
Wisconsin Department of Transportation (DOT) Network Data Wisconsin DNR Fire Weather Network Data Wisconsin DNR Air Quality Network Data Wisconsin Tower Flux Measurement Data USDA/NRCS Wisconsin Dense Till (WDT) Data
NWS Upper Air Rawinsonde Data (mand/sig levels) Canadian Upper Air Rawinsonde Data (10-sec vertical levels) Canadian Upper Air Rawinsonde Data (mand/sig levels) Redstone Arsenal Rawinsonde Data NOAA Profiler Network (NPN) Data Boundary Layer Profiler Data
WSR-88D NIDS Data WSI Reflectivity Composite Imagery RFC Stage III WSR-88D Data NASA/MSFC National Reflectivity Composite
|
Table 10-6. Proposed Satellite Remote Sensing Data During WY 1998 and WY 1999 Applicable for the LSA-E |
DATA DESCRIPTION | DATA AVAILABILITY |
MODULE | DATA CENTER | |
Composite Daily Snow Depth Grid | NCDC | |
Composite Daily Snow Cover (GOES, POES, DMSP) | X | NESDIS, NOHRSC |
3-Day Composite DMSP SSM/I Snow Cover | X | NOHRSC |
Composite Weekly Snow Cover Extent | NESDIS | |
Monthly DMSP SSM/I Snow Cover in Percent | X | NCDC |
Hourly GOES-8 1 km Visible (for LSA-E) | UCAR OFPS | |
Daily POES AVHRR 1 km (Land Cover/Vegetation) | NOHRSC, EDC | |
Daily DMSP SSM/I Brightness Temperatures | X | MSFC DAAC |
Daily DMSP SSM/T2 Radiances | X | MSFC DAAC |
Daily DMSP OLS Visible Imagery | NGDC | |
Daily DMSP OLS IR Imagery | NGDC | |
POES Radiation Budget Data (4-Day) | NCDC | |
POES Radiation Budget Data (hourly) | NCDC | |
ISCCP 30 km Cloud Data | ||
Composite Gridded Snow Water Equivalent* | X | NOHRSC |
Composite Gridded Soil Moisture* | X | NOHRSC |
Landsat Thematic Mapper Imagery | EDC |
*Data from aircraft, satellite and surface sources.
The data collection plans for EOP-4 are expected to be very similiar to those for EOP-3 given in the previous section with the addition of LSA-NW.
A preliminary listing of data sets for the LSA-NW is shown in Table 10-7 for in-situ data . The current plans for satellite remote sensing data for the LSA-NW are similiar to those shown in Table 10-6 for the LSA-E. The current plans for model output data for the LSA-NW are the same as that given in Table 10-2 for the CSA.
TABLE 10-7 Preliminary In-Situ Data for LSA-NW During WY 1999 and 2000 |
IN-SITU DATA
Surface Data
Automated Weather Observing System (AWOS) Surface Airways Observations (SAO) Hourly SAO Special Observation NOAA Profiler Network (NPN) Surface Sites Fire Weather Network Long-Term Ecological Research (LTER) Sites Canadian Surface Observations NWS Cooperative Observer Daily Observations NWS Cooperative Observer Precipitation Observations US Army Corps of Engineer (USACE) Precipitation and Streamflow Sites USGS Streamflow Network USDA/NRCS Soil Moisture/Soil Temperature (SM/ST) Network USGS Reservoir Network SURFRAD Network Regional
US Bureau of Reclamation AgriMet Network DOE ARM/CART Surface Meteorological Network Great Lakes Buoy, C-MAN, and Coast Guard Sites NOAA River Forecast Center (RFC) Precipitation Sites Management Systems Evaluation Areas (MSEA) Project USGS/Scientific Assessment and Strategy Team (SAST) Wisconsin and Illinois Gravediggers Network USDA/NRCS SnoTel Network DOE ARM/CART Soil Water and Temperature System Network DOE ARM/CART Radiation Sites DOE ARM/CART Energy Balance Bowen Ratio and Eddy Correlation Networks Hourly Surface Composite Hourly Precipitation Composite Daily Precipitation Composite
Illinois Climate Network Cook County Precipitation Network Imperial Valley Water Authority Precipitation Network Illinois State Water Survey Soil Moisture Network Illinois State Water Survey Wells Networks
Walnut Creek Watershec Precipitation Sites Davenport ALERT Network Iowa State University Soil Moisture Survey Walnut Creek Watershed Surface and Groundwater Sites Walnut Creek Watershed Energy Balance and Evapotranspiration Network
Minnesota Road Research Project (Mn/ROAD) Minnesota Extension Climatology Network University of Minnesota Watershed Project Minnesota Pollution Control Agency (MPCA) Watershed Project University of Minnesota Rosemount Experiment Station Other University of Minnesota Experiment Stations USGS Interdisciplinary Research Initiative (IRI) Site Minnesota Precipitation Network
Missouri Department of Conservation Fire Weather Network Missouri Air Pollution Control Program Network
North Dakota Atmospheric Resources Board Cooperative Rain Gage Network
Wisconsin Department of Transportation Network Wisconsin Department of Natural Resources Fire Weather Network Wisconsin Department of Natural Resources Air Quality Network Wisconsin Tower Flux Measurement Site USDA/NRCS Wisconsin Dense Till Network
NWS Upper Air Rawinsonde Data (mandatory/significant levels) DOE ARM/CART Upper Air Sites Canadian Upper Air Rawinsonde Data (10-sec vertical levels) Canadian Upper Air Rawinsonde Data (mandatory/significant levels) NPN Data Boundary Layer Profiler Data
WSR-88D NIDS Data WSI Reflectivity Composite Imagery NOAA/RFC Stage III WSR-88D Data NASA/MSFC National Reflectivity Composite
|
The data collection plans for EOP-5 are expected to be very
similiar to those for EOP-4 given in the previous section.
The list of data to be collected for the complete CSA during WY-99
and WY 2000 of the EOP are given in Table 10-8 for In-Situ data,
and Table 10-9 for Satellite Remote Sensing data.
10.8 EOP-5 Data Collection During WY2000
10.9 EOP Data Collection Plans for Continental Scale Areas (CSAs)
Table 10-8. In-Situ Data Sets for CSA During the EOP |
DATA TYPE | DATA AVAILABILITY |
Surface | Module | Center |
EOP Hourly Surface Composite | X | JOSS |
EOP Hourly Precipitation Composite | X | OFPS |
EOP Daily Precipitation Composite | X | OFPS |
1-hr data from the ASOS Network (both comissioned and non-comissioned sites) | X | OFPS |
1-hr data from SAO Stations (NWS and FAA) | NCDC | |
1-hr data NOAA Wind Profiler Demonstration Network (WPDN) Stations | NCDC | |
1-hr data from the Oklahoma Mesonet Network | OCS | |
1-hr data from the Illinois Climate Network (ICN) | ICN | |
1-hr data from the High Plains Climate Network (HPCN) | HPCC | |
1-hr data from the USDA SNOTEL Network | USDA | |
1-hr and daily precipitation data from the NWS Cooperative Observer Network | NCDC | |
Daily data from the NWS Cooperative Observor Network | NCDC | |
Daily streamflow data from the USGS and USACE Networks | USGS | |
Daily stramflow and precipitation data from TVA | TVA | |
1-hr data from the USDA/Agricultural Research Service (ARS) | OCS | |
1-hr radiation data from the NOAA SURFRAD Network | FSL | |
Available Soil Moisture data from USDA/SCS, USDA/ARS, DOE/ARM/CART, and ICN | X | OFPS |
1-hr surface observations from the DOE Southern Great Plains ARM/CART site | DOE | |
will be others from other LSAs to be determined | ||
Upper Air | ||
1-hr data from the NOAA Wind Profiler Demonstration Network (WPDN) | NCDC | |
12-hr high-resolution (6-sec vertical level) rawinsonde data from the NWS | NCDC | |
12-hr Eta Model MOLTS Soundings (state parameters only) | NCAR | |
ACARS and CASH flight data from commercial aircraft | FSL | |
Radar | ||
1-hr NIDS 2-km radar reflectivity composite | X | OFPS |
1-hr NASA/MSFC 8-km National precipitation composite (derived from reflectively) | MSFC | |
1-hr and daily WSR-88D Stage III product composite (all available RFC's) | X | OFPS |
WSR-88D Site Level II Archive Data | NCDC |
Table 10-9. Satellite Remote Sensing Data for CSA during the EOP |
DATA DESCRIPTION | DATA AVAILABILITY |
SATELLITE DATA | MODULE | CENTER |
POES Radiation Budget Data (4/day) | ||
- Outgoing longwave (AVHRR) | NCDC | |
- Planetary albedo (AVHRR) | NCDC | |
- Downward longwave (HIRS) | NCDC | |
- Longwave cooling rate (HIRS) | NCDC | |
- Outgoing longwave (HIRS) | NCDC | |
GOES Radiation Budget Data (hrly) | ||
- Outgoing longwave (Sounder) | TBD | |
- Downward longwave (Sounder) | TBD | |
- Longwave cooling rate (Sounder) | TBD | |
- Insolation/PAR | NCDC | |
- Clear sky surface temperature | NCDC | |
POES/AVHRR Vegetation Index (Weekly/Monthly) | NCDC | |
DMSP/SSM/I Snowcover (Daily) | NCHRSC | |
POES/CLAVR Clouds (2/day) | NCDC | |
GOES/ASOS Clouds (hrly) | NCDC | |
GOES Conus Sector Imagery (IR, VIS, WV) (hourly) | UCAR/JOSS | |
Gridded Areal Snow Cover (Weekly) | NCHRSC | |
Gridded Areal Snow Cover (Daily) | TBD | |
Gridded Snow Water Equivalent (Weekly) | NCHRSC | |
Gridded Snow Water Equivalent (Daily) | TBD |
OBJECTIVE: Develop high-quality retrospective databases of surface observations, especially precipitation observations, surface meteorological observations, and streamflow for use in calibration of key surface parameters in atmospheric and hydrological models.
Historical hydrometeorological data are needed to develop, validate, and estimate parameters in improved surface parameterizations for atmospheric models. The required period of hydrological data must include several extreme wet and extreme dry periods in which soil moisture levels reach maximum and minimum values. Usually this period ranges from 10 to 30 years, depending on the local climate and actual occurrence of events. At least 30 years is needed to put the EOP in a climatological context. Spatially, all available precipitation measurements are needed to obtain the best possible water budgets over areas of 103 to 104 km2.
The data types required include precipitation, air temperature, streamflow, and meteorological observations to estimate water and energy fluxes between the surface and the atmosphere. The primary source of historical data is surface observations, but archived NWP model outputs and some historical satellite data may be required as well.
The preparation of historical data sets is directly linked to the development of the NOAA Hydrological Data System which was described in Appendix E of the GCIP Major Activities Plan for 1995, 1996 and Outlook for 1997 (IGPO 1994c).
For GCIP, long periods of retrospective, high-quality hydrometeorological data are critical because the statistical variability of extremes (that is, flood and drought) is essential in assessing the impact of climate variability on water resources. A portion of the total retrospective data needs is being compiled within the NWS/OH as part of the NOAA Core Project for GCIP. Retrospective data are a critical input to the NWP model upgrades. At present, models of surface hydrology must be calibrated using historical precipitation, evaporation, temperature, and other climatological data, together with streamflow data. Similar calibrations using 30 to 50 years of data are needed to run the models from which will be determined the key hydrological parameters of soil moisture capacity and runoff formulation required by the upgraded NWP models and required to global models.