HR: 0800h
AN: IN21A-0073    [Abstracts]
TI: Framework for Producing Ecological Nowcasts
AU: * Votava, P
EM: pvotava@mail.arc.nasa.gov
AF: Foundation of California State University at Monterey Bay, NASA Ames Research Center M/S 242-4, Moffett Field, CA 95035, United States
AU: Nemani, R R
EM: rnemani@mail.arc.nasa.gov
AF: NASA Ames Research Center, M/S 242-4, Moffett Field, CA 95035, United States
AU: Michaelis, A
EM: amichaelis@mail.arc.nasa.gov
AF: Foundation of California State University at Monterey Bay, NASA Ames Research Center M/S 242-4, Moffett Field, CA 95035, United States
AU: Milesi, C
EM: cmilesi@mail.arc.nasa.gov
AF: Foundation of California State University at Monterey Bay, NASA Ames Research Center M/S 242-4, Moffett Field, CA 95035, United States
AU: Hashimoto, H
EM: hhashimoto@mail.arc.nasa.gov
AF: Foundation of California State University at Monterey Bay, NASA Ames Research Center M/S 242-4, Moffett Field, CA 95035, United States
AU: Ichii, K
EM: kichii@mail.arc.nasa.gov
AF: Fukushima University, 1 Kanayagawa, Fukushima-City, 960-1296, Japan
AU: Melton, F
EM: fmelton@mail.arc.nasa.gov
AF: Foundation of California State University at Monterey Bay, NASA Ames Research Center M/S 242-4, Moffett Field, CA 95035, United States
AB: TOPS is a data and modeling software system designed to seamlessly integrate data from satellite, aircraft and ground sensors, and weather/climate models with application models to quickly and reliably produce operational nowcasts and forecasts of ecological conditions. Through automation of the data retrieval, pre-processing, integration, and modeling steps, TOPS is able to reliably provide data on current and predicted ecosystem conditions, allowing TOPS data products to be used in an operational setting for a range of applications. The core of the system is located and maintained by the Ecocast group at NASA Ames Research Center. We have develop a layered approach where at the lowest level the system interacts with the numerous data providers such as the Distributed Active Archive Centers (DAAC), the National Center for Environmental Predictions (NCEP), the National Weather Service (NWS), NOAA, and others. This subsystem is fully autonomous, gathering data through periodic query to the requesting centers sometimes as often as every 15-minutes. Subsets of our input datasets are also available by subscriptions and are being pushed to us as they become available (Oregon State University direct broadcast feed is an example of such interaction). When the data are obtained, they are archived in the database and then further processed to fit the application needs. Due to significant differences in climate and satellite data processing, we have two separate subsystems to accomplish the task. On the climate side, we merge ground station data with model data and grid these to required resolution together with generation of basic statistics and QA/QC information. The satellite processing subsystem performs spatial data tiling and subsetting, as well as composition of data sets based on the QA/QC information supplied, in order to obtain the highest quality inputs. After the climate and satellite data are processed, they are inserted into a database. The model framework contains the models that are currently integrated into the system as well as a set of utilities that access, pre-process and post-process the inputs and outputs of these models. The individual components are accessible through the Java Distributed Application Framework (JDAF), which provides a unified view of the system and its capabilities and enables easier data, model and utility integration. JDAF can also be used to build applications by combining together existing components in two main ways - using java's Remote Method Invocation (RMI), and through SOAP and Web Services mechanisms.
UR: http://ecocast.arc.nasa.gov
DE: 0430 Computational methods and data processing
DE: 0434 Data sets
DE: 0439 Ecosystems, structure and dynamics (4815)
DE: 0480 Remote sensing
DE: 0520 Data analysis: algorithms and implementation
SC: Earth and Space Science Informatics [IN]
MN: 2007 Fall Meeting