Effects of Improving Evapotranspiration Parameterization Scheme on WOFOST Model Performance in Simulating Maize Drought Stress Process

Cai Fu; Mi Na; Ming Huiqing; Zhang Shujie; Zhang Hui; Zhao Xianli; Zhang Yushu; Zhang Bingbing

doi:10.11898/1001-7313.20210105

Vol.32, NO.1, 2021

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Cai Fu, Mi Na, Ming Huiqing, et al. Effects of improving evapotranspiration parameterization scheme on WOFOST model performance in simulating maize drought stress process. J Appl Meteor Sci, 2021, 32(1): 52-64. DOI: 10.11898/1001-7313.20210105.

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Cai Fu, Mi Na, Ming Huiqing, et al. Effects of improving evapotranspiration parameterization scheme on WOFOST model performance in simulating maize drought stress process. J Appl Meteor Sci, 2021, 32(1): 52-64. DOI: 10.11898/1001-7313.20210105.

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Effects of Improving Evapotranspiration Parameterization Scheme on WOFOST Model Performance in Simulating Maize Drought Stress Process

DOI: 10.11898/1001-7313.20210105

Cai Fu^{1, 2},
Mi Na^{1, 2},
Ming Huiqing³,
Zhang Shujie^{1, 2},
Zhang Hui⁴,
Zhao Xianli¹,
Zhang Yushu^{1, 2
,
,},
Zhang Bingbing⁴

1.
Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110166
2.
Key Laboratory of Agrometeorological Disasters, Liaoning Province, Shenyang 110166
3.
Liaoning Provincial Meteorological Service Center, Shenyang 110166
4.
Jinzhou Ecological and Agricultural Meteorology Center of Liaoning Province, Jinzhou 121001

Received Date: 2020-09-28
Rev Recd Date: 2020-10-28
Publish Date: 2021-01-31

Abstract

Abstract

To solve the problem on poor performance of crop growth model in simulating crop growth process under water stress, three schemes including improving evapotranspiration parameterization scheme with Penman-Monteith method, building dynamic crop coefficient (K_c) and considering simultaneously two above-mentioned solutions which are respectively named as the PM, CC and PMCC schemes are used to improve WOFOST model. Their effects on model performance in simulating maize drought stress process are evaluated based on experiments of different sowing dates on 20 April, 30 April and 10 May conducted in Jinzhou in the year with normal precipitation (2012) and the dry year (2015 and 2018). The results show that compared with the default model, PM scheme plays a role in increasing potential evapotranspiration and transpiration rate in 2012, while CC scheme decreases (increases) transpiration rate as K_c is larger (smaller) than the model default value 1, respectively. Three schemes hardly affect simulation accuracies of soil moisture in rooted zone, total above ground production, leaf area index (I_LA) and yield. In 2015, PM scheme makes I_LA, total above ground production yield and soil moisture dramatically smaller than those with the default model after the jointing stage of maize. It also increases (decreases) transpiration rate before (after) the whorl stage of maize. After improving the model with CC scheme, I_LA, total above ground production, yield and soil moisture are slightly larger than those simulated by the default model after the whorl stage, and the simulated transpiration rates are smaller (larger) than those simulated by the default model before (after) the whorl stage of maize. Nevertheless, the above-mentioned variables simulated by the improved model with PMCC scheme range between those simulated by the model with PM and CC schemes, and I_LA, total above ground production and yield are obviously closer to the observations. Specifically, the mean increments of simulation accuracies for all growth periods in three sowing dates are 6%, 21% and 3% for I_LA and 8%, 8% and 14% for total above ground production, respectively. The simulation accuracies of yield for three sowing dates increase by 66%, 63% and 66%, respectively. In 2018, the simulation accuracies of total above ground production and yield for the sowing dates on 20 April and 30 April are obviously improved by PMCC scheme, and increase by 5%, 1% in total above ground production as well as 32%, 5% in yield. Therefore, the model performance with PMCC scheme in simulating maize growth is significantly improved under water stress.
- maize;
- drought process;
- crop growth model;
- transpiration;
- parameterization scheme improvement

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References(44)

Figures and Tables

Fig. 1 Relative soil moisture in maize growth periods

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Fig. 2 Comparisons of observed and simulated total above ground productions

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Fig. 3 Daily maximum and minimum temperature during the key growth periods of maize

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Fig. 4 Comparisons of observed and simulated leaf area indices

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Fig. 5 Comparisons of observed and simulated yields

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Fig. 6 Comparisons of observed and simulated soil moistures for sowing date on 30 Apr

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Fig. 7 Simulated transpiration rates of different schemes for sowing date on 30 Apr

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Fig. 8 Simulated crop coefficients based on CC and PMCC schemes for sowing date on 30 Apr

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Table 1 Occurrence dates and days of year in maize growth periods for different sowing date experiments

年份	生育期	04-20播种		04-30播种		05-10播种
年份	生育期	日期	日序	日期	日序	日期	日序
2012	三叶	05-12	132	05-15	135	05-23	143
	七叶	05-25	145	05-29	149	06-02	153
	拔节	06-12	163	06-15	166	06-19	170
	抽雄	07-07	188	07-10	191	07-16	197
	乳熟	08-14	226	08-20	232	08-24	236
	成熟	09-18	261	09-23	266	09-25	268
2015	三叶	05-03	123	05-15	135	05-23	143
	七叶	05-24	144	05-28	148	06-03	154
	拔节	06-09	160	06-14	165	06-16	167
	抽雄	07-11	192	07-14	195	07-17	198
	乳熟	08-17	229	08-24	236	08-25	237
	成熟	09-17	260	09-24	267	09-26	269
2018	三叶	05-05	125	05-12	132	05-22	142
	七叶	05-18	138	05-24	144	06-05	156
	拔节	06-11	162	06-12	163	06-17	168
	抽雄	07-11	192	07-13	194	07-15	196
	乳熟	08-17	229	08-20	232	08-23	235
	成熟	09-22	265	09-25	268	09-29	272

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Table 2 Dry weights of different components of maize ear and ratios of kernel to ear in 2014

播期	穗轴重/g	籽粒重/g	果穗重/g	籽粒果穗比
04-20	36.2	224.9	261.1	0.861
04-30	34.7	197.0	231.8	0.850
05-10	35.4	209.7	245.1	0.856
平均	35.5	210.6	246.0	0.856

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