DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Cloud parameters from reanalysis datasets – a comparison with satellite data

Lauer, Axel and Bock, Lisa and Hassler, Birgit (2023) Cloud parameters from reanalysis datasets – a comparison with satellite data. EGU General Assembly 2023, 2023-04-24 - 2023-04-28, Wien, Österreich. doi: 10.5194/egusphere-egu23-6535.

[img] PDF

Official URL: https://meetingorganizer.copernicus.org/EGU23/EGU23-6535.html


Clouds are a key component of the hydrological cycle and play an important role in weather and climate. Feedbacks between clouds and climate have important implications for climate sensitivity and thus on amplitude and pace of future climate change. In this study, as part of the SPARC Reanalysis Intercomparison Project (S-RIP) phase 2, we compare the cloud parameters from different reanalysis datasets, including the most widely used reanalyses ERA5, MERRA2 and JRA-55, with satellite observations. The study focuses on tropospheric clouds on monthly to seasonal and multi-year time scales. Means and variability of cloud parameters from the reanalyses such as cloud fraction, cloud liquid and ice water content as well as cloud radiative effects are compared to satellite observations for specific cloud regimes and regions. In addition to evaluating the performance of the different reanalysis products, we investigate whether the multi-reanalysis mean is in closer agreement with the observations than the individual reanalyses. The analyses are performed with the Earth System Model Evaluation Tool (ESMValTool), a community developed open-source software tool. The tool provides common operations such as interpolating data on the same grid, calculating multi-reanalysis means, common data masking, area extraction, and basic statistics such as seasonal means, annual means, area means, etc. which facilitates a fair comparison with observations. Uncertainties are estimated using multi-product observational reference datasets.

Item URL in elib:https://elib.dlr.de/195940/
Document Type:Conference or Workshop Item (Speech)
Title:Cloud parameters from reanalysis datasets – a comparison with satellite data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Lauer, AxelDLR, IPAhttps://orcid.org/0000-0002-9270-1044UNSPECIFIED
Bock, LisaDLR, IPAhttps://orcid.org/0000-0001-7058-5938UNSPECIFIED
Hassler, BirgitDLR, IPAhttps://orcid.org/0000-0003-2724-709XUNSPECIFIED
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:reanalysis, clouds, ESMValTool, satellite data
Event Title:EGU General Assembly 2023
Event Location:Wien, Österreich
Event Type:international Conference
Event Start Date:24 April 2023
Event End Date:28 April 2023
Organizer:European Geosciences Union (EGU)
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 - Atmospheric and climate research
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Earth System Model Evaluation and Analysis
Deposited By: Lauer, Axel
Deposited On:12 Jul 2023 12:24
Last Modified:24 Apr 2024 20:56

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.