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TROPOMI/S5P Total Column Water Vapor validation against AERONET ground-based measurements

Garane, Katerina and Chan, Ka Lok and Koukouli, Maria-Elissavet and Loyola, Diego and Balis, Dimitris (2023) TROPOMI/S5P Total Column Water Vapor validation against AERONET ground-based measurements. Atmospheric Measurement Techniques (AMT), 16, pp. 57-74. Copernicus Publications. doi: 10.5194/amt-16-57-2023. ISSN 1867-1381.

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Official URL: https://doi.org/10.5194/amt-16-57-2023


Water vapor plays an important role in the greenhouse effect, rendering it an atmospheric constituent that requires continuous and global monitoring by different types of remote sensing instruments. The TROPOspheric Monitoring Instrument Sentinel-5 Precursor (TROPOMI/S5P) Total Column Water Vapor (TCWV) is a new product retrieved from the visible blue spectral range (435–455 nm), using an algorithm that was originally developed for the GOME-2/MetOp sensors. For the purposes of this work, 2.5 years of continuous satellite observations at high spatial resolution are validated against co-located (in space and in time) precipitable water Level 2.0 (quality-assured) ground-based measurements from the NASA AERONET (AErosol RObotic NETwork). The network uses Cimel Sun photometers located at approximately 1300 stations globally to monitor precipitable water among other products. Based on data availability, 369 of the stations were used in this study. The two datasets, satellite- and ground-based, were co-located, and the relative differences of the comparisons were calculated and statistically analyzed. The Pearson correlation coefficient of the two products is found to be 0.91, and the mean bias of the overall relative percentage differences is of the order of −2.7 %. For the Northern Hemisphere midlatitudes (30–60∘ N), where the density of the ground-based stations is high, the mean relative bias was found to be −1.8 %, while in the tropics (±15∘) the TROPOMI TCWV product has a relative dry bias of up to −10 %. The effect of various algorithm and geophysical parameters, such as air mass factor, solar zenith angle, clouds and albedo, is also presented and discussed. It was found that the cloud properties affect the validation results, leading the TCWV to a dry bias of −20 % for low cloud heights (cloud top pressure (CTP) >800 hPa). Moreover, cloud albedo introduces a wet bias of 15 % when it is below 0.3 and a dry bias up to −25 % when the clouds are more reflective. Overall, the TROPOMI/S5P TCWV product, on a global scale and for moderate albedo and cloudiness, agrees well at  % with the AERONET observations but probably within about −8 % to −13 % with respect to the “truth”.

Item URL in elib:https://elib.dlr.de/193030/
Document Type:Article
Title:TROPOMI/S5P Total Column Water Vapor validation against AERONET ground-based measurements
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Garane, KaterinaLaboratory of Atmospheric Physics, Aristotle University of Thessaloniki,https://orcid.org/0000-0002-7113-4079UNSPECIFIED
Chan, Ka LokDLR-IMF & Rutherford Appleton Laboratory SpaceUNSPECIFIEDUNSPECIFIED
Koukouli, Maria-ElissavetLaboratory of Atmospheric Physics, Aristotle University of Thessaloniki,UNSPECIFIEDUNSPECIFIED
Loyola, DiegoUNSPECIFIEDhttps://orcid.org/0000-0002-8547-9350UNSPECIFIED
Balis, DimitrisLaboratory of Atmospheric Physics, Aristotle University of Thessaloniki,UNSPECIFIEDUNSPECIFIED
Date:6 January 2023
Journal or Publication Title:Atmospheric Measurement Techniques (AMT)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Page Range:pp. 57-74
Publisher:Copernicus Publications
Keywords:TROPOMI, water vapour, validation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Spectroscopic methods of the atmosphere, R - Project MABAK, R - Project Innovative product development Sentinel-5P
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Loyola, Dr.-Ing. Diego
Deposited On:15 Mar 2023 09:21
Last Modified:15 Mar 2023 09:21

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