Estimation of the net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) data for clear sky days

Bisht, Gautam; Venturini, Virginia; Islam, Shafiqul; Jiang, Lide

doi:10.1016/j.rse.2005.03.014

Cited by 324 publications

(275 citation statements)

References 25 publications

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“…Using Aqua satellite data the RMSE of T a was 2.6°C and 3.2 hpa of e a . As shown by the data, the magnitude of the experimental errors generally corresponded to previous studies (Bisht et al 2005;Ryu et al 2008;Bisht and Bras 2010). One intriguing point is that the SMK site yielded a smaller "inter-instrumental" difference (i.e., RMSE) in T a and a larger difference in e a compared to the CFK site.…”

Section: R Ld From Flux Towerssupporting

confidence: 82%

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Satellite Based Downward Long Wave Radiation by Various Models in Northeast Asia

Sur¹,

Kim²,

Choi³

2014

Terr. Atmos. Ocean. Sci.

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Satellite-based downward long wave radiation measurement under clear sky conditions in Northeast Asia was conducted using five well-known physical models (Brunt 1932, Idso and Jackson 1969, Brutsaert 1975, Satterlund 1979, Prata 1996 with a newly proposed global R ld model (Abramowitz et al. 2012). Data from two flux towers in South Korea were used to validate downward long wave radiation. Moderate resolution imaging spectroradiometer (MODIS) atmospheric profile products were used to develop the R ld models. The overall root mean square error (RMSE) of MODIS R ld with respect to two ecosystem-type flux towers was determined to be ≈ 20 W m -2 . Based on the statistical analyses, MODIS R ld estimates with Brutsaert (1975) and Abramowitz et al. (2012) models were the most applicable for evaluating R ld for clear sky conditions in Northeast Asia. The Abramowitz R ld maps with MODIS T a and e a showed reasonable seasonal patterns, which were wellaligned with other biophysical variables reported by previous studies. The MODIS R ld map developed in this study will be very useful for identifying spatial patterns that are not detectable from ground-based R ld measurement sites.

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Section: R Ld From Flux Towerssupporting

confidence: 82%

“…3 (Bisht et al 2005;Ryu et al 2008;Bisht and Bras 2010). Ryu et al (2008) compared MODIS air temperature (T a ) and actual vapor pressure (e a ) from the Terra satellite with flux tower measurements.…”

Section: R Ld From Flux Towersmentioning

confidence: 99%

Satellite Based Downward Long Wave Radiation by Various Models in Northeast Asia

Sur¹,

Kim²,

Choi³

2014

Terr. Atmos. Ocean. Sci.

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“…Kim and Hogue (2008) found better correlation (R 2 5 0.89) and lower bias (20.34 mm day 21 ) in point-to-grid comparisons of daily M-PET and observed PET for humid sites. Our correlations are slightly lower most likely because 1) we are comparing to basin-scale PET as opposed to point-to-grid comparisons and 2) we include only May-September whereas Kim and Hogue (Barik 2014) confirm that M-PET slightly overestimates PET as compared to groundbased measurements, likely because of the observed biases in MODIS surface temperature products (Wan et al 2002;Bisht et al 2005). …”

Section: A Assessment Of M-pet and Default-petmentioning

confidence: 80%

Distributed Hydrologic Modeling Using Satellite-Derived Potential Evapotranspiration

Spies

Franz

Hogue

et al. 2015

Journal of Hydrometeorology

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Satellite-derived potential evapotranspiration (PET) estimates computed from Moderate Resolution Imaging Spectroradiometer (MODIS) observations and the Priestley-Taylor formula (M-PET) are evaluated as input to the Hydrology Laboratory Research Distributed Hydrologic Model (HL-RDHM). The HL-RDHM is run at a 4-km spatial and 6-h temporal resolution for 13 watersheds in the upper Mississippi and Red River basins for 2003-10. Simulated discharge using inputs of daily M-PET is evaluated for all watersheds, and simulated evapotranspiration (ET) is evaluated at two watersheds using nearby latent heat flux observations. M-PETderived model simulations are compared to output using the long-term average PET values (default-PET) provided as part of theHL-RDHMapplication. In addition, uncalibrated and calibrated simulations are evaluated for both PET data sources. Calibrating select model parameters is found to substantially improve simulated discharge for both datasets. Overall average percent bias (PBias) and Nash-Sutcliffe efficiency (NSE) values for simulated discharge are better from the default-PET than the M-PET for the calibrated models during the verification period, indicating that the time-varying M-PET input did not improve the discharge simulation in theHL-RDHM. M-PET tends to produce higher NSE values than the default-PET for the Wisconsin and Minnesota basins, but lower NSE values for the Iowa basins. M-PET-simulated ET matches the range and variability of observed ET better than the default-PET at two sites studied and may provide potential model improvements in that regard. Rights © Copyright 2015 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be "fair use" under Section 107 of the U.S. Copyright Act September 2010 Page 2 or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108, as revised by P.L. 94-553) does not require the AMS's permission. Republication, systematic reproduction, posting in electronic form, such as on a web site or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. Additional details are provided in the AMS Copyright Policy, available on the AMS Web site located at (http://www.ametsoc.org/) or from the AMS at 617-227-2425 or copyrights@ametsoc.org. Simulated discharge using inputs of daily M-PET is evaluated for all watersheds, and simulated evapotranspiration (ET) is evaluated at two watersheds using nearby latent heat flux observations. M-PET-derived model simulations are compared to output using the long-term average PET values (default-PET) provided as part of the HL-RDHM application. In addition, uncalibrated and calibrated simulations are evaluated for both PET data sources. Calibrating select model parameters is found to...

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“…Net radiations for vegetation and bare soil within pixels can be respectively estimated using equation (17) and the specific parameters of land type. In the Sim-ReSET model, a simple scheme proposed by Bisht et al (2005) was used to estimate instantaneous net radiation for cloud-free days only using remote sensing observations. Their results show that the accuracy of net radiation estimations by their scheme is better than 50 W/m 2 .…”

Section: Net Radiationmentioning

confidence: 99%

Development of a Simple Remote Sensing EvapoTranspiration model (Sim-ReSET): Algorithm and model test

Sun

Wang

Matsushita

et al. 2009

Journal of Hydrology

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Remote sensing (RS) has been considered as the most promising tool for evapotranspiration (ET) estimations from local, regional to global scales. Many studies have been conducted to estimated ET using RS data, however, most of them are based partially on ground observations. In this study, we developed a new dual-source Simple Remote Sensing EvapoTranspiration model (Sim-ReSET) based only on RS data. One merit of this model is that the calculation of aerodynamic resistance can be avoided by means of a reference dry bare soil and an assumption that wind speed at the upper boundary of atmospheric surface layer is homogenous, but the aerodynamic characters are still considered by means of canopy height. The other merit is that all inputs (net radiation, soil heat flux, canopy height, variables related to land surface temperature) can be potentially obtained from remote sensing data, which allows obtaining regular RS-driven ET product.

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Estimation of the net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) data for clear sky days

Cited by 324 publications

References 25 publications

Satellite Based Downward Long Wave Radiation by Various Models in Northeast Asia

Satellite Based Downward Long Wave Radiation by Various Models in Northeast Asia

Distributed Hydrologic Modeling Using Satellite-Derived Potential Evapotranspiration

Development of a Simple Remote Sensing EvapoTranspiration model (Sim-ReSET): Algorithm and model test

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