中国太阳辐射时空变化及不同时间尺度Ångström-Prescott模型校正参数适用性比较

doi:10.18402/resci.2022.02.06

资源科学 ›› 2022, Vol. 44 ›› Issue (2): 287-298.doi: 10.18402/resci.2022.02.06

中国太阳辐射时空变化及不同时间尺度Ångström-Prescott模型校正参数适用性比较

谭清华¹^,²(), 刘玉洁¹^,²(), 宋献方²^,³, 潘韬¹^,²

1.中国科学院地理科学与资源研究所,中国科学院陆地表层格局与模拟重点实验室,北京 100101
2.中国科学院大学,资源与环境学院,北京 100049
3.中国科学院地理科学与资源研究所,中国科学院陆地水循环及地表过程重点实验室,北京 100101

收稿日期:2020-10-20 修回日期:2021-06-11 出版日期:2022-02-25 发布日期:2022-04-13
通讯作者: 刘玉洁,女,甘肃天水人,研究员,从事全球变化与粮食安全研究。E-mail: liuyujie@igsnrr.ac.cn
作者简介:谭清华,女,湖南娄底人,博士生,主要从事气候变化影响研究。E-mail: tanqh.17s@igsnrr.ac.cn
基金资助:
中国科学院战略性先导科技专项课题(XDA28060200);中国科学院战略性先导科技专项课题(XDA20040301);国家自然科学基金优秀青年基金项目(42122003);中国科学院青年创新促进会优秀会员项目(Y202016)

Spatiotemporal changes of solar radiation and the adaptability comparison of Ångström-Prescott calibration parameters at different temporal scales in China

TAN Qinghua¹^,²(), LIU Yujie¹^,²(), SONG Xianfang²^,³, PAN Tao¹^,²

1. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
3. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

Received:2020-10-20 Revised:2021-06-11 Online:2022-02-25 Published:2022-04-13

摘要/Abstract

摘要：

逐日太阳辐射是作物模型的关键输入变量,被广泛用于计算太阳辐射的Ångström-Prescott模型（A-P公式）校正工作主要建立在月尺度数据上,开展不同区域日尺度及更大时间尺度校正及参数适用性研究有助于提高太阳辐射计算和作物模型模拟准确性,指导区域农业生产。本文基于中国九大农业区划和104个辐射站点的1981—2016年逐日太阳辐射实测资料,分析了中国年太阳辐射时空分布特征;在此基础上,分别在日尺度和月尺度校正A-P公式,并对其校正参数（a_s和b_s）的适用性进行检验评价。结果表明：①中国年太阳辐射在1990年前后经历了由“变暗”到“变亮”的转变,总体呈增加趋势（7.32±30.31 MJ/m²/a）,空间上呈西高东低的分布特征;②日尺度A-P公式校正拟合效果优于月尺度,且月尺度的校正参数存在明显的空间异质性;参数a_s的空间分布存在地带性,呈东南低西北高的特征,而b_s与海拔正相关;③日尺度和月尺度校正参数可互换,但在年尺度上线性A-P公式不再适用。本文对提高太阳辐射计算精度和指导区域农业生产具有一定的参考价值。

关键词: 太阳辐射, Ångström-Prescott公式, 参数化, 多尺度, 适用性, 农业区划, 中国

Abstract:

Daily solar radiation is a key input variable for crop models. Calibration for the parameters of the Ångström-Prescott model (A-P model), one of the most widely used models for calculating solar radiation, is mostly based on monthly solar radiation data. Investigation on calibrating the parameters at different temporal scales and analyzing their applicability is needed for improving the accuracy of solar radiation calculation and crop model simulation. Based on observed data of solar radiation and sunshine time of 104 radiation stations in China from 1981 to 2016, the spatiotemporal changes of observed solar radiation were analyzed. The parameters(a_s and b_s) of the A-P model were calibrated at different temporal scales, and their adaptability was evaluated. The results show that: (1) In China, average annual solar radiation was high in the west and low in the east. Annual solar radiation experienced a transition from “dimming” to “brightening” around 1990, withan overall increase rate of 7.32±30.31 MJ/m²/a during the study period; (2) The performance of A-P model calibration at the daily scale was better than that at the monthly scale, and the spatial heterogeneity of calibrated parameters was obvious at the monthly scale. In addition, the calibrated parameter a_s decreased with increasing longitude, and increased with increasing latitude, showing a spatial pattern of low in the southeast and high in the northwest; the spatial distribution of b_s was positively correlated with altitude; (3) The parameters calibrated at the daily and monthly scales are interchangeable; however, the linear A-P model was no longer applicable at the annual scale. This study is helpful for improving the accuracy of solar radiation calculation and providing some guidance for regional agricultural production.

Key words: solar radiation, Ångström-Prescott model, parameterization, multi-scale, applicability, agricultural regionalization, China

谭清华, 刘玉洁, 宋献方, 潘韬. 中国太阳辐射时空变化及不同时间尺度Ångström-Prescott模型校正参数适用性比较[J]. 资源科学, 2022, 44(2): 287-298.

TAN Qinghua, LIU Yujie, SONG Xianfang, PAN Tao. Spatiotemporal changes of solar radiation and the adaptability comparison of Ångström-Prescott calibration parameters at different temporal scales in China[J]. Resources Science, 2022, 44(2): 287-298.

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农业区域	1981—1990年	1991—2016年	1981—2016年
东北平原区	-9.98±106.99	2.70±23.82	10.43±20.89
北方干旱半干旱区	-22.70±91.23	4.72±16.07	1.40±33.75
黄淮海平原区	-52.93±42.26	8.34±11.06	4.37±42.88
黄土高原区	-34.17±7.44	18.08±18.21	11.07±11.72
青藏高原区	-43.32±104.96	10.10±27.92	8.74±32.94
长江中下游地区	-30.36±78.74	3.49±13.98	5.95±26.99
四川盆地及周边地区	1.49±46.41	18.37±15.92	4.56±21.48
华南地区	3.62±75.14	7.74±25.03	18.60±31.16
云贵高原区	-37.34±76.77	20.01±17.00	12.57±29.97
全国	-28.04±83.57	7.63±19.34	7.32±30.31

区域	统计值	日尺度				月尺度
区域	统计值	a_sd	b_sd	a_sd+b_sd	R²	a_sm	b_sm	a_sm+b_sm	R²
东北平原区	中位数	0.19	0.54	0.73	0.81	0.21	0.52	0.71	0.49
	标准差	0.04	0.03	0.04	0.05	0.05	0.11	0.08	0.15
	变异系数	0.21	0.05	0.06	0.06	0.26	0.21	0.11	0.31
北方干旱半干旱区	中位数	0.22	0.54	0.75	0.81	0.25	0.49	0.73	0.57
	标准差	0.04	0.05	0.03	0.05	0.06	0.06	0.03	0.15
	变异系数	0.18	0.08	0.04	0.07	0.22	0.14	0.04	0.26
黄淮海平原区	中位数	0.17	0.53	0.70	0.82	0.18	0.50	0.70	0.60
	标准差	0.02	0.03	0.02	0.04	0.04	0.07	0.04	0.19
	变异系数	0.14	0.05	0.03	0.05	0.22	0.14	0.06	0.32
黄土高原区	中位数	0.18	0.52	0.71	0.82	0.22	0.47	0.67	0.54
	标准差	0.02	0.01	0.02	0.06	0.07	0.09	0.03	0.20
	变异系数	0.12	0.03	0.03	0.08	0.29	0.21	0.05	0.39
青藏高原区	中位数	0.20	0.57	0.79	0.73	0.22	0.61	0.81	0.47
	标准差	0.05	0.06	0.05	0.18	0.07	0.11	0.06	0.28
	变异系数	0.24	0.10	0.06	0.27	0.38	0.19	0.08	0.56
长江中下游地区	中位数	0.14	0.56	0.71	0.86	0.14	0.58	0.71	0.85
	标准差	0.02	0.03	0.03	0.03	0.02	0.03	0.03	0.08
	变异系数	0.13	0.05	0.05	0.03	0.16	0.06	0.05	0.10
四川盆地及周边地区	中位数	0.16	0.59	0.75	0.82	0.16	0.61	0.77	0.87
	标准差	0.04	0.05	0.06	0.28	0.05	0.06	0.07	0.29
	变异系数	0.26	0.08	0.08	0.38	0.28	0.10	0.09	0.38
华南地区	中位数	0.16	0.54	0.69	0.81	0.15	0.54	0.70	0.79
	标准差	0.05	0.04	0.05	0.06	0.08	0.11	0.07	0.18
	变异系数	0.26	0.07	0.08	0.07	0.42	0.20	0.10	0.26
云贵高原区	中位数	0.18	0.55	0.75	0.83	0.17	0.56	0.74	0.85
	标准差	0.03	0.05	0.04	0.05	0.06	0.10	0.05	0.09
	变异系数	0.17	0.09	0.05	0.06	0.29	0.18	0.07	0.11
全国	中位数	0.18	0.55	0.73	0.82	0.19	0.53	0.72	0.67
	标准差	0.04	0.05	0.05	0.11	0.06	0.09	0.06	0.21
	变异系数	0.23	0.08	0.06	0.14	0.32	0.18	0.08	0.33

因子	a_sd	b_sd	a_sm	b_sm
经度	-0.36**	0.09	-0.36**	0.18
纬度	0.38**	-0.17	0.36**	-0.20*
海拔	0.31	0.28**	0.17	0.17

中国太阳辐射时空变化及不同时间尺度Ångström-Prescott模型校正参数适用性比较

Spatiotemporal changes of solar radiation and the adaptability comparison of Ångström-Prescott calibration parameters at different temporal scales in China

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