This software is used to locate Earthscience satellite data and climate-model analysis outputs in space and time. This enables the direct comparison of any set of data with different spatial and temporal resolutions. It is written in three separate modules that are clearly separated for their functionality and interface with other modules. This enables a fast development of supporting any new data set. In this updated version of the tool, several new front ends are developed for new products.
This software finds co-locatable data pairs for given sets of data products and creates new data products that share the same spatial and temporal coordinates. This facilitates the direct comparison between the two heterogeneous datasets and the comprehensive and synergistic use of the datasets.
This work was done by Seungwon Lee, Lei Pan, and Gary L. Block of Caltech for NASA’s Jet Propulsion Laboratory.
This software is available for commercial licensing. Please contact Daniel Broderick of the California Institute of Technology at
This Brief includes a Technical Support Package (TSP).
Earth-Science Data Co-Locating Tool
(reference NPO-48506) is currently available for download from the TSP library.
Don't have an account?
Overview
The document outlines the development of CloudSat-centric co-location data products created by a team at the Jet Propulsion Laboratory (JPL), California Institute of Technology. It focuses on the integration of various A-Train satellite data products and ECMWF (European Centre for Medium-Range Weather Forecasts) analysis outputs, specifically co-located onto a CloudSat track. This co-location process is designed to enhance the synergistic use of multi-source datasets by aligning them in common geo-location parameters and a standardized data format.
The time frame for the co-location products spans two years, from May 1, 2008, to April 30, 2010, coinciding with the Year of Tropical Convection (YOTC) project. The document includes a detailed description of the original source data products, which were obtained from official data archive centers, and provides supplementary materials such as documents from the original data generation teams and an Excel worksheet listing the physical variables included in the co-location products.
Figures within the document illustrate the co-location process, including a schematic representation of the A-Train satellite data and ECMWF analysis products aligned to CloudSat footprints. This visual representation aids in understanding how different datasets can be integrated for improved analysis and research.
The document serves as a technical support package under NASA's Commercial Technology Program, aiming to disseminate aerospace-related developments with broader scientific, technological, or commercial applications. It emphasizes the importance of collaboration and data sharing in Earth science research, highlighting the potential for enhanced understanding of atmospheric phenomena through the use of co-located datasets.
For further inquiries or assistance, the document provides contact information for the Innovative Technology Assets Management at JPL, ensuring that users can access additional resources or support related to the co-location tool and its applications.
Overall, this document is a valuable resource for researchers and practitioners in the field of Earth sciences, offering insights into the methodologies and benefits of co-locating satellite data products for comprehensive atmospheric analysis.
