Satellite Climate Data Records: Development, Applications, and Societal Benefits

Yang, Wen‐Jei; John, Viju O.; Zhao, Xuepeng; Lu, Hui; Knapp, Kenneth R.

doi:10.3390/rs8040331

Cited by 29 publications

(15 citation statements)

References 110 publications

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“…Many studies used the SPEs in their works on water balance analyses, water resource management, hydrological simulation, and disaster forecasting (W Yang et al, 2016). However, basin-scale assessments of SPEs is the process necessary for their widely operational applications, as the inherent biases and indeterminate errors of them can be propagated or even amplified through the applied integration processes and thus result in poor results (J Su et al, 2017;J Su et al, 2019).…”

Section: Basin-scale Assessments and Comparisonsmentioning

confidence: 99%

The Assessment and Comparison of TMPA and IMERG Products Over the Major Basins of Mainland China

Lü

Ryu

et al. 2019

Earth and Space Science

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The Integrated Multi-satellitE Retrievals for Global Precipitation Measurement mission (IMERG) aims to deliver the "best" precipitation estimation from space and has attracted much attention. The Version 05 of IMERG products including the near-real-time "Early" and "Late" run products (IMERG-E and IMERG-L, respectively), and the post-real-time "Final" run IMERG product (IMERG-F) are assessed at both national and basin scales against gauge observations over Mainland China for a 4-year period (from April 2014 to March 2018). As control products for comparison, their predecessor Tropical Rainfall Measurement Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) products (i.e., TMPA-RT and TMPA-V7) are also employed. Components analysis confirms the best performance of IMERG-F among the five SPEs in three different categories. All five SPEs feature increasing bias and root mean square difference (RMSD) with increasing daily gauge total precipitation, and such issue is less pronounced for IMERG-F-as evidenced by the lowest bias and RMSD across all precipitation rates. Besides, compared to TMPA, IMERG products exhibit better accuracy in detecting real precipitation evens, especially for light-to-medium rain (<60 mm/day), but they do not demonstrate significant improvement in the assessment of severe over/underestimation. In the basin-scale comparison, all five SPEs catch the key variation feature of basin-averaged precipitation time series (except TMPA-RT over Continental River Basin). Overall, IMERG-F demonstrates the best performance over all nine basins despite the slight overestimation, followed by TMPA-V7. IMERG-E and IMERG-L show performance close to or even better than TMPA-V7 in terms of the correlation coefficient and RMSD.

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Section: Basin-scale Assessments and Comparisonsmentioning

confidence: 99%

The Assessment and Comparison of TMPA and IMERG Products Over the Major Basins of Mainland China

Lü

Ryu

et al. 2019

Earth and Space Science

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“…A crude distinction is by upstream, midstream and downstream services. Upstream climate services involve the reprocessing and fusion of (different) observational data, as well as development and application of various types of climate models and reanalysis products [29,30]. The EQC projects/efforts are currently concentrating on the upstream for the ECV climate data records (CDRs).…”

Section: Introductionmentioning

confidence: 99%

Towards a Traceable Climate Service: Assessment of Quality and Usability of Essential Climate Variables

Zeng

Barmpadimos³

et al. 2019

Remote Sensing

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Climate services are becoming the backbone to translate climate knowledge, data & information into climate-informed decision-making at all levels, from public administrations to business operators. It is essential to assess the technical and scientific quality of the provided climate data and information products, including their value to users, to establish the relation of trust between providers of climate data and information and various downstream users. The climate data and information products (i.e., from satellite, in-situ and reanalysis) shall be fully traceable, adequately documented and uncertainty quantified and can provide sufficient guidance for users to address their specific needs and feedbacks. This paper discusses details on how to apply the quality assurance framework to deliver timely assessments of the quality and usability of Essential Climate Variable (ECV) products. It identifies an overarching structure for the quality assessment of single product ECVs (i.e., consists of only one single variable), multi-product ECVs (i.e., more than one single parameter), thematic products (i.e., water, energy and carbon cycles), as well as the usability assessment. To support a traceable climate service, other than rigorously evaluating the technical and scientific quality of ECV products, which represent the upstream of climate services, how the uncertainty propagates into the resulting benefit (utility) for the users of the climate service needs to be detailed.

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“…global grids of sea surface temperature or monthly precipitation). Finally, when FCDRs or TCDRs are regularly updated, with near-real time observations, Interim Climate data Records (ICDR) are generated CGMS 2014, 2017;Hollmann et al 2013;Su et al 2018;Yang et al 2016;Zeng et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Reviewing the discoverability and accessibility to data and information products linked to Essential Climate Variables

Espinosa

Giuliani

Ray

2019

International Journal of Digital Earth

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Essential Climate Variables (ECVs) are geophysical records generated from systematic Earth Observations associated with climate variations, changes, and impacts. ECVs products support the data and information needs of international frameworks and policies such as the work of the United Nations Framework Convention on Climate Change (UNFCCC) and the Intergovernmental Panel on Climate Change (IPCC). We map the main networks and initiatives publishing ECVs, by presenting an overview of existing satellite-based ECVs, their general data creation characteristics, discoverability and accessibility methods from an end-user perspective. We investigate key initiatives providing or coordinating access to ECV data records, such as the Global Climate Observing System (GCOS), the Committee on Earth Observation Satellites (CEOS), the Coordination Group for Meteorological Satellites (CGMS), Joint Working Group on Climate (WGClimate), the Remote Sensing Systems (REMSS), and the European Space Agency Climate Change Initiative (ESA CCI). We find that ECV data discovery and access is difficult and time consuming due to the lack of common data and metadata catalogues. In addition, the selection of fit-for-purpose data records by end-users requires the implementation of interoperable standards and scalable data infrastructures to allow the generation of tailored applications and datadriven information products in support of decision-making processes.

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Satellite Climate Data Records: Development, Applications, and Societal Benefits

Cited by 29 publications

References 110 publications

The Assessment and Comparison of TMPA and IMERG Products Over the Major Basins of Mainland China

The Assessment and Comparison of TMPA and IMERG Products Over the Major Basins of Mainland China

Towards a Traceable Climate Service: Assessment of Quality and Usability of Essential Climate Variables

Reviewing the discoverability and accessibility to data and information products linked to Essential Climate Variables

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