Estimation of hourly surface net radiation in Taklimakan Desert based on multi-source remote sensing data and reanalysis data

doi:10.7522/j.issn.1000-694X.2021.00048

Journal of Desert Research ›› 2021, Vol. 41 ›› Issue (5): 51-61.DOI: 10.7522/j.issn.1000-694X.2021.00048

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Estimation of hourly surface net radiation in Taklimakan Desert based on multi-source remote sensing data and reanalysis data

Kailu Liu¹(), Xinping Wu², Yongqiang Liu¹(), Mamtimin Ali³, Fan Yang³, Qing He⁴

^1.College of Resources and Environmental Sciences，Xinjiang University，Urumqi 830046，China
^2.Tazhong Weather Station of Qiemo，Qiemo 841900，Xinjiang，China
^3.Desert Meteorology Field Experiment Station of CMA，Instituste of Desert Meteorology，China Meteorological Administration，Urumqi 830002，China
^4.Xinjiang Uygur Autonomous Regional Meteorological Service，Urumqi 830002，China

Received:2021-02-09 Revised:2021-04-25 Online:2021-09-20 Published:2021-09-23
Contact: Yongqiang Liu

Abstract

Abstract:

The Taklimakan Desert is the second-largest flow desert in world， and its unique land-atmosphere interactions process directly affects the atmospheric circulation in China and even the world. Based on geostationary meteorological satellite data （FY-2F）， polar-orbiting satellite Data （MODIS）， and China Meteorological Forcing Dataset （CMFD）， 3-hourly surface net radiation at a spatial resolution of 0.1° in Taklimakan Desert is derived. The results shows that：（1）There is a good agreement between ground observed data and the surface characteristic parameter derived from satellite and reanalysis data， and the coefficient of determination （R²） is above 0.8. （2）The estimated surface net radiation is in good agreement with the in situ measurements. The coefficient of determination （R²） is 0.967， and the root means square error （ RMSE） is 29.193W·m^-2. （3）At the daily temporal scale， the surface net radiation increases with sunrise and reach their maximum at midday before decreasing again with sunset， and net radiation is small in summer and large in winter. （4）Its spatial distribution is consistent with general meteorological conditions of the Taklimakan Desert. There are the highest net radiation values in oasis and farmland， followed by desert hinterland， and there are the lowest net radiation values in Kunlun Mountains and Altun Mountains.

Key words: surface net radiation, Taklimakan Desert, FY-2F, MODIS, CMFD

CLC Number:

P422

Kailu Liu, Xinping Wu, Yongqiang Liu, Mamtimin Ali, Fan Yang, Qing He. Estimation of hourly surface net radiation in Taklimakan Desert based on multi-source remote sensing data and reanalysis data[J]. Journal of Desert Research, 2021, 41(5): 51-61.

Figures/Tables 13

Fig.1 General situation of the study area

Table 1 Summary of the input datasets used for calculating daily surface net radiation

数据项	数据来源	空间分辨率	时间分辨率	数据格式
地表温度LST	FY-2F	0.1°×0.1°	1 h	AWX
地表比辐射率ε_s	MOD11C1	1 km	1 d	TIFF
	MOD11A1	1 km
	MOD09GA	500 m
地表反照率α	MOD09GA	500 m	1 d	TIFF
向下短波辐射R_swd	CMFD	0.1°×0.1°	3 h	NC
空气温度T_a	CMFD	0.1°×0.1°	3 h	NC

Table 2 The survey of land surface energy detections system in Tazhong station

观测项目	仪器型号	时间分辨率
风速、风向	Metone 010/020C	30 min
空气温、湿度	Vaisala HMP45C	30 min
辐射四分量观测仪	Kipp&Zonen CNR-1	30 min

Table 3 Statistical indices used for performance evaluation of input variables and in situ data

评价指标	公式	理想值
决定系数（R²）	$R 2 = ∑ i = 1 n (K o - K o ˉ) (K s - K s ˉ) 2 ∑ i = 1 n (K o - K o ˉ) 2 ∑ i = 1 n (K s - K s ˉ) 2$	1
均方根误差（RMSE）	$R M S E = 1 n ∑ i = 1 n (K s - K o) 2$	0
平均绝对误差（MAE）	$M A E = 1 n ∑ i = 1 n \| (K s - K o) \|$	0
模拟效率（EF）	$E F = 1 - ∑ i = 1 n (K s - K o) 2 ∑ i = 1 n (K o - K o ˉ) 2$	1

Table 3 Statistical indices used for performance evaluation of input variables and in situ data

评价指标	公式	理想值
决定系数（R²）	$R 2 = ∑ i = 1 n (K o - K o ˉ) (K s - K s ˉ) 2 ∑ i = 1 n (K o - K o ˉ) 2 ∑ i = 1 n (K s - K s ˉ) 2$	1
均方根误差（RMSE）	$R M S E = 1 n ∑ i = 1 n (K s - K o) 2$	0
平均绝对误差（MAE）	$M A E = 1 n ∑ i = 1 n \| (K s - K o) \|$	0
模拟效率（EF）	$E F = 1 - ∑ i = 1 n (K s - K o) 2 ∑ i = 1 n (K o - K o ˉ) 2$	1

Fig.2 Comparison of the variables between CMFD， FY-2F， MODIS and ground observation

Table 4 Errors of input parameters

参数	R²	RMSE	MAE	EF
T_a/K	0.985	3.643	2.883	0.936
α	0.804	0.015	0.008	0.878
R_swd/(W?m^-2)	0.991	25.915	16.054	0.991
LST/K	0.897	9.350	8.044	0.762
ε_s	0.882	0.005	0.004	0.864

Fig.3 Comparison of observed and estimated daily net radiation in different seasons

Fig.4 Comparison of the diurnal variation of net radiation between observed and estimated net radiation in different months

Table 5 The precision inspection results of daily net radiation in 2017

月份	R²	MAE	RMSE	EF
1	0.960	17.407	22.590	0.951
2	0.979	13.750	18.697	0.978
3	0.918	31.984	40.148	0.924
4	0.948	20.431	37.229	0.947
5	0.959	28.351	40.586	0.944
6	0.978	21.368	26.960	0.997
7	0.979	22.134	33.385	0.967
8	0.970	26.589	33.848	0.967
9	0.981	21.024	28.405	0.971
10	0.975	17.863	23.266	0.975
11	0.949	23.385	29.695	0.936
12	0.922	12.998	23.176	0.901

Fig.5 Comparison of diurnal variation of net radiation between observed and estimated net radiation in different seasons

Fig.6 The diurnal variations of daily net radiation on July 8， 2017

Fig.7 The distribution of net radiation on July 8， 2017

Fig.8 The diurnal variation of net radiation in different season

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Estimation of hourly surface net radiation in Taklimakan Desert based on multi-source remote sensing data and reanalysis data

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