Toward a US Framework for Continuity of Satellite Observations of Earth's Climate and for Supporting Societal Resilience

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doi:10.1029/2023ef003757

Cited by 3 publications

(2 citation statements)

References 46 publications

(50 reference statements)

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“…The data product development lifecycle includes the analysis of user needs, data collection, product development and processing, production dissemination, and metrics. There are many articles and discussions about the Earth system user needs, products, data services, data sharing, standards, and the FAIR (findable, accessible, interoperability, and reusable) principles [4][5][6][7][8][9][10][11][12][13] . However, discussions about solutions and strategies to systematically improve data products for a broader user community are limited.…”

Section: Introductionmentioning

confidence: 99%

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Strategizing Earth Science Data Development

Liu,

Yao

2024

Sci Data

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Section: Introductionmentioning

confidence: 99%

“…However, discussions about solutions and strategies to systematically improve data products for a broader user community are limited. Based on previous studies 5 , we outline strategies for each component of the data product development lifecycle below.…”

Section: Introductionmentioning

confidence: 99%

Strategizing Earth Science Data Development

Liu,

Yao

2024

Sci Data

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Trends and Variability in Earth’s Energy Imbalance and Ocean Heat Uptake Since 2005

Hakuba,

Fourest,

Boyer

et al. 2024

Surv Geophys

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Earth’s energy imbalance (EEI) is a fundamental metric of global Earth system change, quantifying the cumulative impact of natural and anthropogenic radiative forcings and feedback. To date, the most precise measurements of EEI change are obtained through radiometric observations at the top of the atmosphere (TOA), while the quantification of EEI absolute magnitude is facilitated through heat inventory analysis, where ~ 90% of heat uptake manifests as an increase in ocean heat content (OHC). Various international groups provide OHC datasets derived from in situ and satellite observations, as well as from reanalyses ingesting many available observations. The WCRP formed the GEWEX-EEI Assessment Working Group to better understand discrepancies, uncertainties and reconcile current knowledge of EEI magnitude, variability and trends. Here, 21 OHC datasets and ocean heat uptake (OHU) rates are intercompared, providing OHU estimates ranging between 0.40 ± 0.12 and 0.96 ± 0.08 W m−2 (2005–2019), a spread that is slightly reduced when unequal ocean sampling is accounted for, and that is largely attributable to differing source data, mapping methods and quality control procedures. The rate of increase in OHU varies substantially between − 0.03 ± 0.13 (reanalysis product) and 1.1 ± 0.6 W m−2 dec−1 (satellite product). Products that either more regularly observe (satellites) or fill in situ data-sparse regions based on additional physical knowledge (some reanalysis and hybrid products) tend to track radiometric EEI variability better than purely in situ-based OHC products. This paper also examines zonal trends in TOA radiative fluxes and the impact of data gaps on trend estimates. The GEWEX-EEI community aims to refine their assessment studies, to forge a path toward best practices, e.g., in uncertainty quantification, and to formulate recommendations for future activities.

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Multi-decadal climate variability and satellite biases have amplified model-observation discrepancies in tropical troposphere warming estimates

Chung,

Kim,

Sohn

et al. 2024

Commun Earth Environ

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Most coupled model simulations substantially overestimate tropical tropospheric warming trends over the satellite era, undermining the reliability of model-projected future climate change. Here we show that the model-observation discrepancy over the satellite era has arisen in large part from multi-decadal climate variability and residual biases in the satellite record. Analyses indicate that although the discrepancy is closely linked to multi-decadal variability in the tropical Pacific sea surface temperatures, the overestimation remains over the satellite era in model simulations forced by observed time-varying sea surface temperatures with a La Niña-like pattern. Regarding moist thermodynamic processes governing tropical tropospheric warming, however, we find a broad model-observation consistency over a post-war period, suggesting that residual biases in the satellite record may contribute to model-observation discrepancy. These results underscore the importance of sustaining an accurate long-term observing system as well as constraining the model representation of tropical Pacific sea surface temperature change and variability.

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Toward a US Framework for Continuity of Satellite Observations of Earth's Climate and for Supporting Societal Resilience

Cited by 3 publications

References 46 publications

Strategizing Earth Science Data Development

Strategizing Earth Science Data Development

Trends and Variability in Earth’s Energy Imbalance and Ocean Heat Uptake Since 2005

Multi-decadal climate variability and satellite biases have amplified model-observation discrepancies in tropical troposphere warming estimates

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