Triple Collocation based Merged Dataset for Convective Triggering Potential (CTP) and Humidity Index (HI)
Authors: | |
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Owners: | Payal Makhasana |
Type: | Resource |
Storage: | The size of this resource is 1.2 GB |
Created: | Apr 08, 2024 at 5:45 p.m. |
Last updated: | Apr 17, 2024 at 12:25 p.m. (Metadata update) |
Published date: | Apr 17, 2024 at 12:25 p.m. |
DOI: | 10.4211/hs.90bf9b575b684c849e617f620c2d63fb |
Citation: | See how to cite this resource |
Content types: | Multidimensional Content |
Sharing Status: | Published |
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Views: | 765 |
Downloads: | 13 |
+1 Votes: | Be the first one to this. |
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Abstract
This resource introduces a merged dataset, integrating Convective Triggering Potential (CTP) and Humidity Index (HI) from three established reanalysis products: the Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA2), Climate Forecast System Reanalysis (CFSR), and the European Centre for Medium-Range Weather Forecasts Reanalysis v5 (ERA5). This innovative dataset, crafted using the Triple Collocation (TC) method, addresses the challenges posed using single-source reanalysis data and offers a more reliable representation of atmospheric conditions. It mitigates biases associated with individual datasets and compensates for satellite-derived estimates' shortcomings, such as missing observations and lower vertical resolution. This merged CTP-HI product offers a robust alternative to single-source datasets, enhancing accuracy in characterizing atmospheric conditions and addressing the limitations of satellite-derived data. Verification against the Integrated Global Radiosonde Archive version 2 (IGRA2) in-situ measurements and Atmospheric Infrared Sounder version 7 (AIRSv7) satellite observations ensure reliability for meteorological research. The dataset provides a valuable tool for analyzing atmospheric stability and humidity, with potential implications for weather prediction and climate research.
Subject Keywords
Coverage
Spatial
Temporal
Start Date: | 01/01/2003 |
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End Date: | 12/31/2022 |



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Data Services
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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National Aeronautics and Space Administration | Soil Moisture Active-Passive Mission Science Team Program | NNH19ZDA001N-SMAP |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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