System and method for providing a reanalysis ensemble service
Inventors
Schnase, John L. • Duffy, Daniel Q. • Tamkin, Glenn S. • Li, Jian • Strong, Savannah L. • Gill, Roger
Assignees
National Aeronautics and Space Administration NASA
Publication Number
US-11719857-B1
Publication Date
2023-08-08
Expiration Date
2035-05-13
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Abstract
A reanalysis ensemble service includes a plurality of conversion utilities, each conversion utility configured to convert a specific one of a plurality of disparate climate reanalysis datasets from different sources to common format files that are temporally and spatially registered, a data analytics platform for storing and operating on the different sourced common format files, a service interface for mapping service requests to analytic operations performed on the different sourced common format files by the data analytics platform, and a services library that dynamically creates data objects from one or more of the different sourced common format files in response to the analytic operations, and delivers the data objects to the service interface.
Core Innovation
The invention provides a reanalysis ensemble service that integrates multiple disparate climate reanalysis datasets from different sources by converting each dataset to common format files that are temporally and spatially registered. These files are stored and operated on using a data analytics platform capable of high-performance parallel operations. The service interface maps service requests from clients to analytic operations on the common format files, and a services library dynamically creates data objects from the results to deliver back to clients.
The need for this invention arises from the existence of multiple important climate reanalysis datasets, such as NASA's MERRA-2, ERA-Interim, CFSR, 20CR, JRA-25, and JRA-55, each with different formats, variables, spatial and temporal domains. There was a shortcoming in the art in enabling operations and inter-comparisons across multiple reanalysis collections in a unified and efficient manner. The invention extends capabilities of data analytics platforms by providing a suite of commonly used operations over an ensemble of reanalysis datasets, facilitating general reanalysis queries and intercomparisons that were previously difficult to obtain.
Claims Coverage
The patent contains multiple independent claims describing inventive features of a reanalysis ensemble service, method, and system. There are three independent claims identified, each detailing core inventive elements related to conversion of disparate datasets to common formats, data analytics processing, service interfacing, and dynamic data object creation.
Conversion of disparate climate reanalysis datasets to common temporally and spatially registered format files
Each conversion utility is specifically configured to convert a particular climate reanalysis dataset from various sources into common format files which are temporally and spatially registered to enable unified processing of disparate data.
Data analytics platform for storing and operating on multi-source common format files
The data analytics platform supports storing these converted datasets and running analytic operations on the combined data, including handling parallel and high-performance computations over distributed file systems.
Service interface mapping service requests to analytic operations
A service interface is provided which receives external client service requests and maps them to specific analytic operations to be performed on the common format reanalysis datasets by the data analytics platform.
Services library dynamically creating data objects from analytic results
The services library includes software applications that dynamically generate data objects from one or more converted common format files in response to the analytic operations and deliver these objects via the service interface.
Collectively, the inventive features establish a comprehensive reanalysis ensemble service that unifies disparate climate datasets into a common format, supports efficient parallel analytics, maps client requests through an interface to analytic operations, and dynamically produces and delivers analytic results as data objects.
Stated Advantages
Accessibility to multiple climate reanalysis collections allows for general reanalysis queries and difficult-to-obtain intercomparisons between analysis results.
The service provides a commonly used set of computational utilities and canonical operations including seasonal maximum, seasonal average, anomaly detection, and uncertainty quantification, enabling efficient and standardized analyses across datasets.
Dynamic creation of data objects and mapping of requests through a service interface facilitates easy client access to complex, multi-source analytic computations.
Implementation on a high-performance distributed data analytics platform supports scalability and parallel operations for large climate datasets.
Documented Applications
Investigating climate variability.
National disasters management.
Civil engineering planning and analysis.
Ecological forecasting.
Health and air quality studies.
Water resources management.
Agriculture applications.
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