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Record Search Query: ServiceParameters>HAZARDS MANAGEMENT

Terrestrial Observation and Prediction System (TOPS)
Entry ID: NASA_ARC_TOPS
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Summary
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.

[Summary provided by NASA.]

Related URL
Link: VIEW RELATED INFORMATION
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/
Science Keywords
AGRICULTURE >AGRICULTURAL PLANT SCIENCE >CROPPING SYSTEMS   [Definition]
AGRICULTURE >FOREST SCIENCE >FOREST PROTECTION   [Definition]
AGRICULTURE >SOILS >SOIL MOISTURE/WATER CONTENT   [Definition]
ATMOSPHERE >ATMOSPHERIC PHENOMENA >DROUGHT   [Definition]
ATMOSPHERE >ATMOSPHERIC TEMPERATURE >DEGREE DAYS   [Definition]
ATMOSPHERE >ATMOSPHERIC TEMPERATURE >MAXIMUM/MINIMUM TEMPERATURE   [Definition]
ATMOSPHERE >ATMOSPHERIC WATER VAPOR >EVAPOTRANSPIRATION   [Definition]
ATMOSPHERE >PRECIPITATION >RAIN   [Definition]
ATMOSPHERE >PRECIPITATION >SNOW   [Definition]
ATMOSPHERE >ATMOSPHERIC RADIATION >SOLAR RADIATION   [Definition]
BIOSPHERE >VEGETATION >LEAF CHARACTERISTICS   [Definition]
BIOSPHERE >VEGETATION >PHOTOSYNTHETICALLY ACTIVE RADIATION   [Definition]
BIOSPHERE >VEGETATION >VEGETATION INDEX   [Definition]
HUMAN DIMENSIONS >PUBLIC HEALTH   [Definition]
HUMAN DIMENSIONS >ENVIRONMENTAL GOVERNANCE/MANAGEMENT >LAND MANAGEMENT >LAND USE/LAND COVER CLASSIFICATION   [Definition]
HUMAN DIMENSIONS >NATURAL HAZARDS >WILDFIRES   [Definition]
HUMAN DIMENSIONS >NATURAL HAZARDS >WILDFIRES   [Definition]
HUMAN DIMENSIONS >NATURAL HAZARDS >FLOODS   [Definition]
TERRESTRIAL HYDROSPHERE >SURFACE WATER >FLOODS   [Definition]
LAND SURFACE >LAND TEMPERATURE >LAND SURFACE TEMPERATURE   [Definition]
LAND SURFACE >SOILS >SOIL MOISTURE/WATER CONTENT   [Definition]
LAND SURFACE >SURFACE RADIATIVE PROPERTIES >ALBEDO   [Definition]
SPECTRAL/ENGINEERING >INFRARED WAVELENGTHS >INFRARED IMAGERY   [Definition]
SPECTRAL/ENGINEERING >RADAR >RADAR IMAGERY   [Definition]
SPECTRAL/ENGINEERING >VISIBLE WAVELENGTHS >VISIBLE IMAGERY   [Definition]
ATMOSPHERE >ATMOSPHERIC PRESSURE   [Definition]
BIOSPHERE >ECOLOGICAL DYNAMICS >ECOSYSTEM FUNCTIONS >PRIMARY PRODUCTION   [Definition]
BIOSPHERE >ECOLOGICAL DYNAMICS >ECOSYSTEM FUNCTIONS   [Definition]
HUMAN DIMENSIONS >NATURAL HAZARDS >DROUGHTS   [Definition]
ISO Topic Category
FARMING
BIOTA
CLIMATOLOGY/METEOROLOGY/ATMOSPHERE
ECONOMY
ENVIRONMENT
GEOSCIENTIFIC INFORMATION
HEALTH
IMAGERY/BASE MAPS/EARTH COVER
PLANNING CADASTRE
Service Provider
Ecological Forecasting Laboratory, Ames Research Center, NASA

Service Provider Personnel
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
Creation and Review Dates
SERF Creation Date: 2008-09-15
SERF Last Revision Date: 2013-01-31
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