Observation error diagnostics and applicability evaluation of MHS brightness temperatures in RMAPS-CA

Ma, Yufen; Mamtimin, Ali; Zhang, Guangxing

doi:10.1080/01431161.2021.1929544

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…The accuracy of NWP models highly depends on the initial conditions [2][3][4][5]. Therefore, it is essential that these models incorporate observations of high quality and that have the proper spatial distribution density.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, it is essential that these models incorporate observations of high quality and that have the proper spatial distribution density. However, only seven conventional synoptic stations and three synoptic radars are located in oasis regions around the TD, and there are no meteorological stations in the hinterland of the grand desert regions, an area of 330,000 square kilometers [5]. That is far from the number needed to provide accurate initial conditions.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of CAMEL over the Taklimakan Desert Using Field Observations

Han

et al. 2023

Land

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Infrared (IR) land surface emissivity (LSE) plays an important role in numerical weather prediction (NWP) models through the satellite radiance assimilation. However, due to the large uncertainties in LSE over the desert, many land-surface sensitive channels of satellite IR sensors are not assimilated. This calls for further assessments of the quality of satellite-retrieved LSE in these desert regions. A set of LSE observations were made from field experiments conducted on 16–18 October 2013 along a south/north desert road in the Taklimakan Desert (TD), China. The observed LSEs (EOBS) are thus used in this study as the reference values to evaluate the quality of Combined ASTER MODIS Emissivity over Land (CAMEL) data. Analysis of these data shows four main results. First, the CAMEL datasets appear to sufficiently capture the spatial variations in LSE from the oasis to the hinterland of the TD (this is especially the case in the quartz reststrahlen band). From site 1 at the southern edge of the Taklimakan Desert to site 10 at the northern edge, the measured LSE and the corresponding CAMEL observation in the quartz reststrahlen band first decrease and reach their minimum around sites 4–6 in the hinterland of the Taklimakan Desert. Then, the LSE increases gradually and finally reaches its maximum at site 10, which has a clay ground surface, showing that the LSE is higher at the edges of the desert and lower in the center. Second, the CAMEL values at 11.3 μm have a zonal distribution characterized by a northeast–southwest strike, though such an artifact might have been introduced by ASTER LSE data during the merging process that created the CAMEL dataset. Third, the unrealistic variation of the original EOBS can be filtered out with useful signals, as identified by the first six principal components of the PCA conducted on the laboratory-measured hyperspectral emissivity spectra (ELAB). Fourth, the CAMEL results correlate well with the measured LSE at the 10 observation sites, with the observed LSE being slightly smaller than the CAMEL values in general.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of CAMEL over the Taklimakan Desert Using Field Observations

Han

et al. 2023

Land

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“…The accuracy of NWP models highly depends on the initial condition [4]. The assimilation of observations with high quality and proper spatial distribution density is essential.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the CAMEL Land Surface Emissivity Model over the Taklimakan Desert using Field Observations

Han

et al. 2022

Preprint

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A set of LSE observations from field experiments were conducted on 16-18 Oct 2013 along a south/north desert road in the Taklimakan Desert (TD), China. The observed LSEs (EOBS) are thus used in this study as the reference to evaluate the quality of Combined ASTER MODIS Emissivity over Land (CAMEL). Analysis of these data shows four main results. Firstly, the CAMEL appears to capture the spatial variations of LSE from the oasis to the hinterland of TD well, especially in the quartz reststrahlen band 8.1 mm, 8.6 mm and 9.1 mm. From site 1 at the south edge of the TD to site 10 at the north edge, the EOBS and the corresponding CAMEL in the quartz reststrahlen band firstly decrease and reach their minimum around sites 4-6 at the hinterland of the TD. Then the LSE increases gradually and finally gets their maximum at site 10 with clay ground surface, which is higher at the edges of the desert and lower in the center. Second, the CAMEL at 8.3 mm has a Zonal distribution characteristic of northeast-southwest strike. Third, the unrealistic variation of original EOBS can be filtered out with useful signals remaining by the first 6 principal components from PCA upon the laboratory measured hyperspectral emissivity spectra (ELAB). Fourth, the CAMEL correlates well with the measured LSE at the ten observation sites, with the EOBS slightly smaller than CAMEL in general.

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Observation error diagnostics and applicability evaluation of MHS brightness temperatures in RMAPS-CA

Cited by 2 publications

References 11 publications

Evaluation of CAMEL over the Taklimakan Desert Using Field Observations

Evaluation of CAMEL over the Taklimakan Desert Using Field Observations

Evaluation of the CAMEL Land Surface Emissivity Model over the Taklimakan Desert using Field Observations

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