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Rolling DICE to Advance Knowledge of Land-Atmosphere InteractionsThe Diurnal Land-Atmosphere Coupling Experiment (DICE) aims to explore the complex interactions between the land surface and atmospheric boundary layer, which are generally not well understood and difficult to isolate in models. The project involves over 10 different models, combining expertise from both land surface and atmospheric boundary-layer modelling groups. A simple three-stage methodology is designed to assess land-atmosphere feedbacks. Stage 1: the individual components are assessed in isolation, driven and evaluated against observational data; stage 2: the impact of coupling is investigated; stage 3: the sensitivity of the stand-alone models to variations in driving data is explored. For this initial study, a three-day clear-sky period in the mid-west USA over, an assumed simple, predominantly grass surface was simulated using data from the CASES-99 field campaign.

Key conclusions from the study include: (1) the memory of vegetation state within Land Surface Models (LSMs) needs attention; (2) the height of atmospheric forcing for LSMs is important, particularly for the nocturnal boundary layer, and this has implications for both observations and vertical resolution for atmospheric models; (3) land-atmosphere feedbacks reduce errors in simulated surface fluxes at the expense of the accuracy of the variables that the models are designed to simulate (e.g., temperature, humidity and wind speed); (4) problems remain in representing the stable boundary layer in atmospheric models; (5) the mixing of temperature and humidity within the boundary layer may need to be represented separately; (6) differences in daytime profiles of heat, moisture and momentum between models are mainly due to the way the models erode the inversion at the top of the boundary layer, rather than differences in the surface fluxes. Resultant variations in modelled boundary layer heights have a substantial impact on relative humidity and could partially explain variations in coupling strength between models in the GLACE experiment.
Document ID
20250000786
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Martin Best
(Met Office Exeter, United Kingdom)
Adrian Lock
(Met Office Exeter, United Kingdom)
Gianpaolo Balsamo ORCID
(European Centre for Medium-Range Weather Forecasts Reading, United Kingdom)
Eric Bazile
(Centre National de Recherches Météorologiques Toulouse, France)
Isabelle Baeu
(Centre National de Recherches Météorologiques Toulouse, France)
Joan Cuxart
(Universitat de les Illes Balears Palma, Spain)
Michael B. Ek
(National Center for Atmospheric Research Boulder, United States)
Kirsten Findell
(National Oceanic and Atmospheric Administration Washington, United States)
Ann Fridlind
(Goddard Institute for Space Studies New York, United States)
Bert Holtslag
(Wageningen University & Research Wageningen, Netherlands)
Wenyan Huang
(Changzhou Meteorological Bureau)
Mantonia A. Jiménez
(Universitat de les Illes Balears Palma, Spain)
Sanjiv Kumar
(Auburn University Auburn, Alabama, United States)
David Lawrence
(National Center for Atmospheric Research Boulder, United States)
Sergey Malyshev
(National Oceanic and Atmospheric Administration Washington, United States)
Patrick Le Moigne
(Centre National de Recherches Météorologiques Toulouse, France)
Michael J. Puma
(Goddard Institute for Space Studies New York, United States)
Reinder Ronda
(Royal Netherlands Meteorological Institute De Bilt, Netherlands)
Joseph A Santanello
(Goddard Space Flight Center Greenbelt, United States)
Irina Sandu
(European Centre for Medium-Range Weather Forecasts Reading, United Kingdom)
Xiaojing Shen
(Nanjing University of Information Science and Technology Nanjing, China)
Gert-Jan Steeneveld
(Goddard Institute for Space Studies New York, United States)
Gunilla Svensson
(Stockholm University Stockholm, Sweden)
Paul A Vaillancourt
(Environment and Climate Change Canada Gatineau, Quebec, Canada)
Weiguo Wang
(Science Applications International Corporation (United States) McLean, Virginia, United States)
Ayrton Zadra
(Environment and Climate Change Canada Gatineau, Quebec, Canada)
Weizhong Zheng
(NOAA Environmental Modeling Center College Park, United States)
Date Acquired
January 21, 2025
Publication Date
May 16, 2025
Publication Information
Publication: Quarterly Journal of the Royal Meteorological Society
Publisher: Wiley
ISSN: 0035-9009
e-ISSN: 1477-870X
Subject Category
Meteorology and Climatology
Earth Resources and Remote Sensing
Funding Number(s)
WBS: 437949.02.03.01.62
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
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