Enabling Reanalysis Research Using the Collaborative Reanalysis Technical Environment (CREATE)

Potter, Gerald L.; Carriere, L.; Hertz, Judith A.; Bosilovich, Michael G.; Duffy, Daniel Q.; Lee, Tsengdar J.; Williams, D. N.

doi:10.1175/bams-d-17-0174.1

Cited by 19 publications

(20 citation statements)

References 23 publications

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“…Observed and simulated historical atmospheric circulation is characterized in terms of daily mean SLP fields over the 6 continental-scale regions shown in figure 1. Two reanalyses included in the Collaborative Reanalysis Technical Environment (Potter et al 2018) are used as observational reference datasets: the NOAA-CIRES Twentieth Century Reanalysis (20CRv2c) (2 • grid spacing) (Compo et al 2011) and the JMA JRA-55 (∼55-km horizontal resolution) (Kobayashi et al 2015). The two reanalyses assimilate different types of observations.…”

Section: Datamentioning

confidence: 99%

Reductions in daily continental-scale atmospheric circulation biases between generations of global climate models: CMIP5 to CMIP6

Cannon

2020

Environ. Res. Lett.

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This study evaluates and compares historical simulations of daily sea-level pressure circulation types over 6 continental-scale regions (North America, South America, Europe, Africa, East Asia, and Australasia) by 15 pairs of global climate models from modeling centers that contributed to both Coupled Model Intercomparison Project Phase 5 (CMIP5) and CMIP6. Atmospheric circulation classifications are constructed using two different methodologies applied to two reanalyses. Substantial improvements in performance, taking into account internal variability, are found between CMIP5 and CMIP6 for both frequency (24% reduction in global error) and persistence (12% reduction) of circulation types. Improvements between generations are robust to different methodological choices and reference datasets. A modest relationship between model resolution and skill is found. While there is large intra-ensemble spread in performance, the best performing models from CMIP6 exhibit levels of skill close to those from the reanalyses. In general, the latest generation of climate models should provide less biased simulations for use in regional dynamical and statistical downscaling efforts than previous generations.

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Section: Datamentioning

confidence: 99%

Reductions in daily continental-scale atmospheric circulation biases between generations of global climate models: CMIP5 to CMIP6

Cannon

2020

Environ. Res. Lett.

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“…The unique characteristics of the CHIRPS product are its native high resolution, low latency and long record (the longest of the satellite data in the database, Table 2). The product has been used in many evaluation and process studies and is thought to support hydrological forecasts and trends analysis in Ethiopia for instance (Pricope et al, 2013). CHIRPS is a quasi-global implementation of algorithms and methodology that has also been implemented at regional scales like the Tropical Applications of Meteorology using SATellite (TAMSAT) products (see below).…”

Section: Gpcp 1dd Cdr V13 By Noaamentioning

confidence: 99%

FROGS: a daily 1° × 1° gridded precipitation database of rain gauge, satellite and reanalysis products

Roca

Alexander

Potter

et al. 2019

Earth Syst. Sci. Data

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Abstract. We introduce the Frequent Rainfall Observations on GridS (FROGS) database (Roca et al., 2019). It is composed of gridded daily-precipitation products on a common 1∘×1∘ grid to ease intercomparison and assessment exercises. The database includes satellite, ground-based and reanalysis products. As most of the satellite products rely on rain gauges for calibration, unadjusted versions of satellite products are also provided where available. Each product is provided over its length of record and up to 2017 if available. Quasi-global, quasi-global land-only, ocean-only and tropical-only as well as regional products (over continental Africa and South America) are included. All products are provided on a common netCDF format that is compliant with Climate and Forecast (CF) Convention and Attribute Convention for Dataset Discovery (ACDD) standards. Preliminary investigations of this large ensemble indicate that while many features appear robust across the products, the characterization of precipitation extremes exhibits a large spread calling for careful selection of the products used for scientific applications. All datasets are freely available via an FTP server and identified thanks to the DOI: https://doi.org/10.14768/06337394-73A9-407C-9997-0E380DAC5598.

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“…Therefore, when assessing the skill of the CMIP5 models in simulating parameters related to the representation of the zonal wind stress forcing at the ocean surface, we only compare the simulated values against ERA-Interim. All reanalysis output was downloaded from NASA's Collaborative REAnalysis Technical Environment (CREATE) data system (Potter et al 2018).…”

Section: B Observational Estimatesmentioning

confidence: 99%

“…The BSOSE data used in this analysis are available at Scripps Institution of Oceanography (http://sose.ucsd.edu/). The CFSR and ERA-Interim reanalysis data were downloaded from the NASA CREATE system (Potter et al 2018; https:// esgf.nccs.nasa.gov/search/create-ip/). The World Ocean Atlas 13 (WOA13) data were downloaded from https:// www.nodc.noaa.gov/OC5/woa13/.…”

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confidence: 99%

Assessing the Quality of Southern Ocean Circulation in CMIP5 AOGCM and Earth System Model Simulations

et al. 2019

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The Southern Ocean (SO) is vital to Earth’s climate system due to its dominant role in exchanging carbon and heat between the ocean and atmosphere and transforming water masses. Evaluating the ability of fully coupled climate models to accurately simulate SO circulation and properties is crucial for building confidence in model projections and advancing model fidelity. By analyzing multiple biases collectively across large model ensembles, physical mechanisms governing the diverse mean-state SO circulation found across models can be identified. This analysis 1) assesses the ability of a large ensemble of models contributed to phase 5 of the Coupled Model Intercomparison Project (CMIP5) to simulate observationally based metrics associated with an accurate representation of the Antarctic Circumpolar Current (ACC), and 2) presents a framework by which the quality of the simulation can be categorized and mechanisms governing the resulting circulation can be deduced. Different combinations of biases in critical metrics including the magnitude and position of the zonally averaged westerly wind stress maximum, wind-driven surface divergence, surface buoyancy fluxes, and properties and transport of North Atlantic Deep Water entering the SO produce distinct mean-state ACC transports. Relative to CMIP3, the quality of the CMIP5 SO simulations has improved. Eight of the thirty-one models simulate an ACC within observational uncertainty (2σ) for approximately the right reasons; that is, the models achieve accuracy in the surface wind stress forcing and the representation of the difference in the meridional density across the current. Improved observations allow for a better assessment of the SO circulation and its properties.

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Enabling Reanalysis Research Using the Collaborative Reanalysis Technical Environment (CREATE)

Cited by 19 publications

References 23 publications

Reductions in daily continental-scale atmospheric circulation biases between generations of global climate models: CMIP5 to CMIP6

Reductions in daily continental-scale atmospheric circulation biases between generations of global climate models: CMIP5 to CMIP6

FROGS: a daily 1° × 1° gridded precipitation database of rain gauge, satellite and reanalysis products

Assessing the Quality of Southern Ocean Circulation in CMIP5 AOGCM and Earth System Model Simulations

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