An intercomparison and validation of satellite-based surface radiative energy flux estimates over the Arctic

被引:38
|
作者
Riihela, Aku [1 ]
Key, Jeffrey R. [2 ]
Meirink, Jan Fokke [3 ]
Munneke, Peter Kuipers [4 ]
Palo, Timo [5 ]
Karlsson, Karl-Goran [6 ]
机构
[1] Finnish Meteorol Inst, Helsinki, Finland
[2] NOAA, Madison, WI USA
[3] Royal Netherlands Meteorol Inst, De Bilt, Netherlands
[4] Univ Utrecht, Inst Marine & Atmospher Res, Utrecht, Netherlands
[5] Univ Tartu, Tartu, Estonia
[6] Swedish Meteorol & Hydrol Inst, Norrkoping, Sweden
基金
芬兰科学院;
关键词
Radiative fluxes; Arctic; Comparison; Validation; Satellite; Remote Sensing; K-DISTRIBUTION METHOD; SEA-ICE; LONGWAVE FLUX; SYSTEM CERES; CLOUD; CLIMATE; ALBEDO; SOLAR; PRODUCT; VARIABILITY;
D O I
10.1002/2016JD026443
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Accurate determination of radiative energy fluxes over the Arctic is of crucial importance for understanding atmosphere-surface interactions, melt and refreezing cycles of the snow and ice cover, and the role of the Arctic in the global energy budget. Satellite-based estimates can provide comprehensive spatiotemporal coverage, but the accuracy and comparability of the existing data sets must be ascertained to facilitate their use. Here we compare radiative flux estimates from Clouds and the Earth's Radiant Energy System (CERES) Synoptic 1-degree (SYN1deg)/Energy Balanced and Filled, Global Energy and Water Cycle Experiment (GEWEX) surface energy budget, and our own experimental FluxNet / Satellite Application Facility on Climate Monitoring cLoud, Albedo and RAdiation (CLARA) data against in situ observations over Arctic sea ice and the Greenland Ice Sheet during summer of 2007. In general, CERES SYN1deg flux estimates agree best with in situ measurements, although with two particular limitations: (1) over sea ice the upwelling shortwave flux in CERES SYN1deg appears to be underestimated because of an underestimated surface albedo and (2) the CERES SYN1deg upwelling longwave flux over sea ice saturates during midsummer. The Advanced Very High Resolution Radiometer-based GEWEX and FluxNet-CLARA flux estimates generally show a larger range in retrieval errors relative to CERES, with contrasting tendencies relative to each other. The largest source of retrieval error in the FluxNet-CLARA downwelling shortwave flux is shown to be an overestimated cloud optical thickness. The results illustrate that satellite-based flux estimates over the Arctic are not yet homogeneous and that further efforts are necessary to investigate the differences in the surface and cloud properties which lead to disagreements in flux retrievals. Plain Language Summary The amounts of solar and thermal radiative energies toward and away from the Earth's surface over the Arctic are the main driver of, e.g., the annual melt and freezing cycle of ice and snow. In this paper, we investigate how state-of-the-art satellite-based data sets of these radiative energy fluxes agree, or disagree, with each other and reference measurements made in the Arctic Ocean and on the Greenland Ice Sheet. We found that different data sets have not only individual strengths but also individual weaknesses which should be improved upon to enable a cohesive investigation of the radiative energy balance at annual and decadal time scales.
引用
收藏
页码:4829 / 4848
页数:20
相关论文
共 50 条
  • [21] Spatio-temporal validation of satellite-based rainfall estimates in the Philippines
    Jamandre, C. A.
    Narisma, G. T.
    ATMOSPHERIC RESEARCH, 2013, 122 : 599 - 608
  • [23] Validation of CHIRPS satellite-based precipitation dataset over Pakistan
    Nawaz, Muhammad
    Iqbal, Muhammad Farooq
    Mahmood, Irfan
    ATMOSPHERIC RESEARCH, 2021, 248 (248)
  • [24] Evaluation of Satellite-Based Precipitation Estimates over an Agricultural Watershed of India
    Himanshu, Sushil Kumar
    Pandey, Ashish
    Dayal, Deen
    WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2018: WATERSHED MANAGEMENT, IRRIGATION AND DRAINAGE, AND WATER RESOURCES PLANNING AND MANAGEMENT, 2018, : 308 - 320
  • [25] Precipitation Diurnal Cycle Assessment of Satellite-Based Estimates over Brazil
    Afonso, Joao Maria de Sousa
    Vila, Daniel Alejandro
    Gan, Manoel Alonso
    Quispe, David Pareja
    Barreto, Naurinete de Jesus da Costa
    Huaman Chinchay, Joao Henry
    Palharini, Rayana Santos Araujo
    REMOTE SENSING, 2020, 12 (14)
  • [26] Characteristics of the Reanalysis and Satellite-Based Surface Net Radiation Data in the Arctic
    Seo, Minji
    Kim, Hyun-Cheol
    Lee, Kyeong-Sang
    Seong, Noh-Hun
    Lee, Eunkyung
    Kim, Jinsoo
    Han, Kyung-Soo
    JOURNAL OF SENSORS, 2020, 2020
  • [27] Impact of subsurface chlorophyll maxima on satellite-based Arctic spring primary production estimates
    Matthes, L. C.
    Belanger, S.
    Raulier, B.
    Babin, M.
    REMOTE SENSING OF ENVIRONMENT, 2023, 298
  • [28] Intercomparison of satellite-based and model-based rainfall analyses
    Kaestner, Martina
    Torricella, Francesca
    Davolio, Silvio
    METEOROLOGICAL APPLICATIONS, 2006, 13 (03) : 213 - 223
  • [29] SATELLITE-BASED ESTIMATES OF HEAVY PRECIPITATION
    SCOFIELD, RA
    PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS, 1984, 481 : 84 - 91
  • [30] Satellite-based estimates of surface water dynamics in the Congo River Basin
    Becker, M.
    Papa, F.
    Frappart, F.
    Alsdorf, D.
    Calmant, S.
    Santos da Silva, J.
    Prigent, C.
    Seyler, F.
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2018, 66 : 196 - 209