Abstract:
The Terrestrial Observation and Prediction System (TOPS) modeling software system that brings together technologies in information technology, weather/climate forecasting, ecosystem modeling, and satellite remote sensing to enhance management decisions related to floods, droughts, forest fires, human health, and crop, range, and forest production. TOPS is designed to provide a suite of ecosystem ... nowcasts and forecasts known as the TOPS-30.
TOPS uses the Java Distributed Applications Framework (JDAF) framework and is the core modeling layer in the Ecocast architecture. TOPS is comprised of multiple biogeochemical (BGC) models which can be used together or independently. The JDAF framework along with the applications programming interface (API) to the IMAGEbot Planner also support rapid integration of new models.
TOPS automatically integrates and preprocesses EOS data fields so that land surface models can be run in near real time with minimal intervention. Currently we use a modified version of BIOME-BGC to estimate various water (evaporation, transpiration, stream flows, and soil water), carbon (net photosynthesis, plant growth) and nutrient flux (uptake and mineralization) processes. BIOME-BGC is adapted for all major biomes exploiting their unique ecophysiological principles such as drought resistance, cold tolerance, etc. The model is initialized with soil physical properties and satellite based vegetation information (type and density of plants). Then daily weather conditions (maximum/minimum temperatures, solar radiation, humidity and rainfall) are used to drive various ecosystem processes (e.g. soil moisture, transpiration, evaporation, photosynthesis and snowmelt etc., that can be translated to drought, crop yields, and streamflow estimates. We have implemented TOPS at a variety of spatial scales to forecast parameters from monthly NPP anomalies globally at 0.5x0.5 resolution down to local estimates of irrigation requirements for vineyards. At each spatial resolution, TOPS uses different sources of satellite data (MODIS to IKONOS) and meteorology data (single weather station to global atmosperic model outputs).
TOPS provides functionality to ensure that inputs are spatially and temporally consistent. It provides algorithms to fill in gaps, identify, and correct problems in various data sources, with the aim of producing operationally reliable land surface fluxes and states. The technology behind TOPS allows us to rapidly adapt the system to address a variety research questions related to ecological forecasting.
Description:
Terrestrial Observation & Prediction System (TOPS) white paper.
Service Citation
Originators:
NASA Ames Research Center, University of Montana
Title:
Terrestrial Observation and Prediction System (TOPS)
Provider:
NASA Ames Research Center
URL:
http://ecocast.arc.nasa.gov/
Name:
DR.
RAMAKRISHNA R.
NEMANI
Email:
rama.nemani at nasa.gov
Contact Address:
Biospheric Sciences Branch
NASA Ames Research Center
MS 242-4 City:
Moffett Field
Province or State:
CA
Postal Code:
94087
Country:
USA
Distribution Media
Distribution_Media:
Online
Fees:
No fees
Personnel
TYLER
B.
STEVENS Role:
SERF AUTHOR
Phone:
(301) 614-6898
Fax:
301-614-5268
Email:
Tyler.B.Stevens at nasa.gov
Contact Address:
NASA Goddard Space Flight Center
Global Change Master Directory City:
Greenbelt
Province or State:
MD
Postal Code:
20771
Country:
USA
DR.
RAMAKRISHNA R.
NEMANI Role:
TECHNICAL CONTACT
Email:
rama.nemani at nasa.gov
Contact Address:
Biospheric Sciences Branch
NASA Ames Research Center
MS 242-4 City:
Moffett Field
Province or State:
CA
Postal Code:
94087
Country:
USA
Publications/References
2001, Wildfire Risk in the Eastern United States -- NFP 01.SRS.C.1 {4F6C76F6-8F53-41D3-8F9F-F39311252C42} Geospatial Data Presentation Form: report FRAMES resource id = {4F6C76F6-8F53-41D3-8F9F-F39311252C42}
Chojnacky, D.C., S.G. McNulty, J.A. Moore Myers, and M.K. Gavazzi Estimating forest floor fuels in eastern ... US forests -- {8449C6BE-767B-438A-A4FC-004AB733FE5D} Presented at EastFIRE Conference. Fairfax, VA, May 2005.
Chojnacky, D.C., R.A. Mickler, L.S. Heath, and C.W. Woodall, 2004 Estimates of Down Woody Materials in Eastern US Forests -- {31344AC0-24EC-4A22-8575-3979308DB53B} Environmental Management 33 (Supplement 1): S44-S55. This citation documents the dataset. available for download through SpringerLink at website below: http://www.springerlink.com/(v4ddmxngqc4jgaysbckwqt55)/app/home/con... p?referrer=parent&backto=issue,4,48;journal,27,96;linkingpublicationresults,1:1 00370,1 http://www.springerlink.com/(v4ddmxngqc4jgaysbckwqt55)/app/home/con... p?referrer=parent&backto=issue
Chojnacky, D.C., T.M. Schuler2004 Amounts of down woody materials for mixed-oak forests in Kentucky, Virginia, Tennessee, and North Carolina -- {3F8C6E1F-F5D5-4289-9FBD-E3166AAA83C5} Southern Journal of Applied Forestry 28(2): 113-117. This citation documents the dataset.
Chojnacky, D.C., R.A. Mickler, and L.S. Heath Carbon in Down Woody Materials of Eastern U.S. Forests -- {79147633-67E7-4A1C-BD12-4C82F90828FF} Geospatial Data Presentation Form: Conference proceedings Second Annual Conference on Carbon Sequestration. Alexandria, VA, May 2003. This publication is available through the Second Annual Conference on Carbon Sequestration website at http://www.carbonsq.com/ -- pdf file may be downloaded http://www.carbonsq.com/
Chojnacky, D.C., R.A. Mickler, and L.S. Heath Biomass in Down Woody Materials of Eastern US Forests -- {EF832EAE-2BFA-4CA2-9BB3-14F57483F3B9} Geospatial Data Presentation Form: annual meeting talk 88th Ecological Society of America Annual Meeting. Savannah, GA, August 2003.
Chojnacky, D.C., R.A. Mickler, and L.S. Heath Monitoring Down Woody Materials in Eastern U.S. Forests -- {86B4DB0A-A769-4A19-B077-B4CD18D9BD8A} Conference proceedings International IUFRO Conference on Monitoring and Indicators of Forest Biodiversity in Europe--From Ideas to Operationality. Florence, Italy, November 2003.
Creation and Review Dates
SERF Creation Date:
2008-09-15
SERF Last Revision Date:
2013-01-31
Links
