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 Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content |
Sharing Status: | Published |
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Views: | 719 |
Downloads: | 13 |
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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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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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