MeteoCrop DB: an agro-meteorological database coupled with crop models for studying climate change impacts on rice in Japan
MeteoCrop DB: an agro-meteorological database coupled with crop models for studying climate change impacts on rice in Japan
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DOI：
10.2480/agrmet.67.4.9
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发表时间：
2011-12-01
影响因子：
1.3
通讯作者：
Saito, Osamu
中科院分区：
文献类型：
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作者：
Kuwagata, Tsuneo;Yoshimoto, Mayumi;Saito, Osamu
为研究气候变化对水稻的影响，开发了农业气象数据库和作物模型(MeteoCrop DB)。在日本(http://MeteoCrop.dc.affrc.go.jp).MeteoCrop DB包括1980年至2011年自动气象数据采集系统(AMeDAS)站(日本全国约850个站点)和1961年至2011年约160个地面气象站的每日气象数据。这些站点覆盖整个日本，是日本气象厅气象观测网的主要组成部分。数据库中的每日气象信息包括两个一般气象要素(气温、风速、降水量、日照时数等)。农业气象要素(太阳辐射、湿度、下行长波辐射、潜在蒸发量等)。由于后者对研究水稻产量至关重要，但不是在AMeDAS站点测量的，因此根据观测的日照时数和邻近地面气象观测站的观测要素估计每个AMeDAS位置的要素。将作物冠层微气象模型和水稻生长模型与农业气象资料相结合，估算了水稻生育期的日平均水温、开花期水稻穗温的日变化和水稻植株的物候期。
An agro-meteorological database coupled with crop models (MeteoCrop DB) has been developed for studying the impacts of climate change on rice (Oryza saliva L.) in Japan (http://MeteoCrop.dc.affrc.go.jp). MeteoCrop DB consists of daily meteorological data at the Automated Meteorological Data Acquisition System (AMeDAS) stations (about 850 sites across Japan) from 1980 to 2011 and those at the about 160 surface meteorological observatories from 1961 to 2011. These stations cover the whole of Japan and are the main components of the meteorological observation network of the Japan Meteorological Agency. The daily meteorological information in the database consists of both general meteorological elements (air temperature, wind speed, precipitation, sunshine duration etc.) and agro-meteorological elements (solar radiation, humidity, downward longwave radiation, potential evaporation etc.). Since the latter elements are critical for studying rice production but are not measured at the AMeDAS stations, they are estimated for each AMeDAS location from the observed sunshine duration and the observed elements at the neighboring surface meteorological observatory. The models of micro-meteorology in crop canopy and rice growth are run in combination with the agro-meteorological information to estimate the daily mean water temperature in a rice paddy during the growth period, the diurnal change in rice panicle temperature during the flowering period, and phenological stages of the rice plants.