The transformation of earth‐system observations into information of socio‐economic value in GEOSS

Hollingsworth, A.; Uppala, S.; Klinker, E.; Burridge, D. M.; Onvlee, Jeanette; Vries, J. W. de; Roo, Ad de; Pfrang, Christian

doi:10.1256/qj.05.181

Cited by 10 publications

(7 citation statements)

References 37 publications

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“…A multitude of satellite‐based products have been assimilated, including passive Multi‐angle Imaging SpectroRadiometer [ Lynch et al , ] and active Cloud‐Aerosol Lidar with Orthogonal Polarization [ Sekiyama et al , , Zhang et al , ]. But in NWP, for example, the global observing system includes not only satellite radiances/retrievals but also observations from surface stations, buoys, wind profilers, and aircraft measurements [ Rabier , ] with observing system improvement over time having a major impact on the forecast scores globally [ Hollingsworth et al , ]. Radiosondes, for example, serve as an important observing network for NWP.…”

Section: Introductionmentioning

confidence: 99%

Assimilation of AERONET and MODIS AOT observations using variational and ensemble data assimilation methods and its impact on aerosol forecasting skill

Rubin

Reid²,

Hansen³

et al. 2017

JGR Atmospheres

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Data assimilation of Aerosol Robotic Network (AERONET) and Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical thickness (AOT) for aerosol forecasting was tested within the Navy Aerosol Analysis Prediction System (NAAPS) framework, using variational and ensemble data assimilation methods. Navy aerosol forecasting currently makes use of a deterministic NAAPS simulation coupled to Navy Variational Data Assimilation System for aerosol optical depth, a two‐dimensional variational data assimilation system, for MODIS AOT assimilation. An ensemble version of NAAPS (ENAAPS) coupled to an ensemble adjustment Kalman filter (EAKF) from the Data Assimilation Research Testbed was recently developed, allowing for a range of data assimilation and forecasting experiments to be run with deterministic NAAPS and ENAAPS. The main findings are that the EAKF, with its flow‐dependent error covariances, makes better use of sparse observations such as AERONET AOT. Assimilating individual AERONET observations in the two‐dimensional variational system can increase the analysis errors when observations are located in high AOT gradient regions. By including AERONET with MODIS AOT assimilation, the magnitudes of peak aerosol events (AOT > 1) were better captured with improved temporal variability, especially in India and Asia where aerosol prediction is a challenge. Assimilating AERONET AOT with MODIS had little impact on the 24 h forecast skill compared to MODIS assimilation only, but differences were found downwind of AERONET sites. The 24 h forecast skill was approximately the same for forecasts initialized with analyses from AERONET AOT assimilation alone compared to MODIS assimilation, particularly in regions where the AERONET network is dense; including the United States and Europe, indicating that AERONET could serve as a backup observation network for over‐land synoptic‐scale aerosol events.

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Section: Introductionmentioning

confidence: 99%

Assimilation of AERONET and MODIS AOT observations using variational and ensemble data assimilation methods and its impact on aerosol forecasting skill

Rubin

Reid²,

Hansen³

et al. 2017

JGR Atmospheres

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“…Hollingsworth et al, 2005;Percivall et al, 2013;Plag et al, 2012). The development of these systems remains fundamentally driven by new scientific and technological developments.…”

Section: Discussionmentioning

confidence: 99%

WebGIS as boundary tools between scientific geoinformation and disaster risk reduction action in volcanic areas

Cozannet

Bagni²,

Thierry³

et al. 2014

Nat. Hazards Earth Syst. Sci.

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Abstract.As the amount of spatial data is growing, there is increased interest in developing tools to explore, visualize and interpret them, with the final aim of informing decision making efficiently. Within the European MIAVITA project, we examined this issue in the case of volcanic areas, where existing geospatial databases are particularly complex due to the number of threats to be considered, including volcanic (e.g. lava flows, ash fall) and non-volcanic hazards, such as landslides or tsunamis. We involved a group of hazard and risk analysts and managers, civil security officers, GIS analysts and system developers to design a Web-based geographical information system (WebGIS). We tested the system at the Mount Cameroon volcano, taking advantage of a complex hazard and risk geographical database. This study enabled identifying key requirements for such tools in volcanic areas, such as the need to manage user privileges differently according to their profile and the status of the volcano. This work also highlights that, in addition to the development of large geoinformation clearinghouses, there is a need for sitespecific information systems focused on working procedures of users, in order to fill the last gap between data producers and users.

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“…In particular, the ocean and biodiversity communities have identified essential ocean variables (UNESCO 2012) and essential biodiversity variables (Pereira et al 2013). Furthermore, many ECVs may also be useful for addressing applications that are not directly climate related: for instance, in support of other societal benefit areas of the Global Earth Observation System of Systems (GEOSS; e.g., Hollingsworth et al 2005).…”

Section: More Than Variablesmentioning

confidence: 99%

The Concept of Essential Climate Variables in Support of Climate Research, Applications, and Policy

Bojinski

Verstraete

Peterson

et al. 2014

Bulletin of the American Meteorological Society

787

481

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The transformation of earth‐system observations into information of socio‐economic value in GEOSS

Cited by 10 publications

References 37 publications

Assimilation of AERONET and MODIS AOT observations using variational and ensemble data assimilation methods and its impact on aerosol forecasting skill

Assimilation of AERONET and MODIS AOT observations using variational and ensemble data assimilation methods and its impact on aerosol forecasting skill

WebGIS as boundary tools between scientific geoinformation and disaster risk reduction action in volcanic areas

The Concept of Essential Climate Variables in Support of Climate Research, Applications, and Policy

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