Implementing the International Precipitation Working Group (IPWG) Validation Statistics in Online Tools to Inter-compare and Characterize Satellite-derived Global Precipitation Products
Abstract
In recent years, precipitation products generated from algorithms that use multi-satellites are widely used in hydrometeorological applications, i.e. the TRMM Multi-satellite Precipitation Analysis (TMPA). However, differences do exist in satellite-derived precipitation products due to issues such as instrument biases, spatial sampling, orbital changes, heterogeneous surface types, terrain, etc. and it is important to understand and quantify these differences in order for users to apply the knowledge to research and applications. In 2012, we developed several online prototypes in the TRMM Online Visualization and Analysis System (TOVAS) which is a part of the GES DISC Giovanni (the GES-DISC Interactive Online Visualization ANd aNalysis Infrastructure) family and users can create area plot, time series, scatter plot, ASCII data output, etc. for inter-comparison with a web browser. This year, we are adding the IPWG (International Precipitation Working Group) validation algorithms/statistics to further reveal characteristics and differences in satellite-derived daily products. The IPWG statistics contains 14 methods commonly used in weather forecast verification, such as, Heidke skill score, Hanssen and Kuipers score, Bias score, False alarm ratio, etc. In this presentation, we will show results of these newly added statistical methods.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2013
- Bibcode:
- 2013AGUFM.H42F..08L
- Keywords:
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- 1873 HYDROLOGY Uncertainty assessment;
- 1854 HYDROLOGY Precipitation;
- 1855 HYDROLOGY Remote sensing;
- 1976 INFORMATICS Software tools and services