Ocean Model Evaluation Project - Phase II: Geophysical Datasets

2002 ◽  
Author(s):  
Dale B. Haidvogel
1999 ◽  
Author(s):  
Dale B. Haidvogel ◽  
Kate Hedstrom

2021 ◽  
Author(s):  
Mathew Lipson ◽  
Sue Grimmond ◽  
Martin Best ◽  

<p>We present initial results of the Urban-PLUMBER international model evaluation project. This project assesses the performance of land surface models used in meteorological simulations of urban areas. Phase 1 included 24 models of varying complexity, from simple slab models through to multi-layer urban canopy models.</p><p>54 model output variables are requested, including primary surface energy fluxes, anthropogenic heat and moisture fluxes, soil variables, albedo, canopy and building air temperatures. This rich dataset is used to both compare model outputs with observations and to understand factors contributing to model performance.</p><p>The project involved a number of other innovations including:</p><ul><li>An online portal (modelevaluation.org) is used to distribute site data and accept submissions.</li> <li>Upon submission to the portal participants are provided with variable near-instant compliance checks and analyses allowing participants to make corrections if required.</li> <li>A ten-year ERA5-derived spin up which overcomes the typically short period of urban flux tower observations and allows the entire observed period to be used in analyses.</li> <li>Testing models alongside simple empirical benchmarks (e.g. out-of-sample linear regression of turbulent fluxes on shortwave radiation) to assess if input information is used effectively.</li> </ul><p>We also discuss the initial stages of Phase 2 which involves testing models at many urban sites. From the known global urban flux tower observations, following assessment, 25 are selected to capture a range of urban characteristics and climates. Surface characteristics are gathered, observations quality controlled and prepended with ten years of bias corrected ERA5 meteorological data for spinup. This new standardised urban flux tower dataset will become a valuable tool in future urban modelling projects.</p>


2014 ◽  
Vol 27 (16) ◽  
pp. 6189-6203 ◽  
Author(s):  
Shannon Mason ◽  
Christian Jakob ◽  
Alain Protat ◽  
Julien Delanoë

Abstract Clouds strongly affect the absorption and reflection of shortwave and longwave radiation in the atmosphere. A key bias in climate models is related to excess absorbed shortwave radiation in the high-latitude Southern Ocean. Model evaluation studies attribute these biases in part to midtopped clouds, and observations confirm significant midtopped clouds in the zone of interest. However, it is not yet clear what cloud properties can be attributed to the deficit in modeled clouds. Present approaches using observed cloud regimes do not sufficiently differentiate between potentially distinct types of midtopped clouds and their meteorological contexts. This study presents a refined set of midtopped cloud subregimes for the high-latitude Southern Ocean, which are distinct in their dynamical and thermodynamic background states. Active satellite observations from CloudSat and Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) are used to study the macrophysical structure and microphysical properties of the new cloud regimes. The subgrid-scale variability of cloud structure and microphysics is quantified within the cloud regimes by identifying representative physical cloud profiles at high resolution from the radar–lidar (DARDAR) cloud classification mask. The midtopped cloud subregimes distinguish between stratiform clouds under a high inversion and moderate subsidence; an optically thin cold-air advection cloud regime occurring under weak subsidence and including altostratus over low clouds; optically thick clouds with frequent deep structures under weak ascent and warm midlevel anomalies; and a midlevel convective cloud regime associated with strong ascent and warm advection. The new midtopped cloud regimes for the high-latitude Southern Ocean will provide a refined tool for model evaluation and the attribution of shortwave radiation biases to distinct cloud processes and properties.


2016 ◽  
Vol 33 (3) ◽  
pp. 409-428 ◽  
Author(s):  
Shawn R. Smith ◽  
Kristen Briggs ◽  
Nicolas Lopez ◽  
Vassiliki Kourafalou

AbstractNumerical models are used widely in the oceanic and atmospheric sciences to estimate and forecast conditions in the marine environment. Herein the application of in situ observations collected by automated instrumentation on ships at sampling rates ≤5 min is demonstrated as a means to evaluate numerical model analyses. Specific case studies use near-surface ocean observations collected by a merchant vessel, an ocean racing yacht, and select research vessels to evaluate various ocean analyses from the Hybrid Coordinate Ocean Model (HYCOM). Although some specific differences are identified between the observations and numerical model analyses, the purpose of these comparisons is to demonstrate the value of high-sampling-rate in situ observations collected on ships for numerical model evaluation.


Author(s):  
Maria Sand ◽  
Bjørn H. Samset ◽  
Yves Balkanski ◽  
Susanne Bauer ◽  
Nicolas Bellouin ◽  
...  

2020 ◽  
Vol 154 ◽  
pp. 101694
Author(s):  
Lucia Pineau-Guillou ◽  
Marie-Noëlle Bouin ◽  
Fabrice Ardhuin ◽  
Florent Lyard ◽  
Jean-Raymond Bidlot ◽  
...  

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