
分钟降水临近预报产品基于观测资料等多源数据,综合深度学习质控算法、深度学习大模型预测算法等,实现未来2小时精细到分钟级、街道级的降水临近预报产品。
要素包括:降水强度(mm/h)
空间范围:马来西亚槟城(100.1~100.6°E,5.1~5.6°N)
时间范围:查询时间当天至未来2小时
时间分辨率:逐1分钟
更新频次:12min
空间分辨率:2km
| 参数名 | 含义 | 规则数据 | 是否必填 | 缺省值 |
| productCode | 产品类型,参考产品类型表 | String | 是 | / |
| meteCode | 要素类型,参考要素类型表 | String | 是 | / |
| region | 区域id或区域名称 | string | 是 | / |
productCode参数说明
| 要素代码 | 要素说明 |
|---|---|
| sev | 3857可视化产品 |
| sevg | 4326可视化产品 |
| mfv | 墨卡托投影整图产品 |
meteCodes要素代码表
| 要素代码 | 要素说明 |
|---|---|
| pop | 降雨概率(0-1) |
| tmp | 温度(°C) |
| tp | 1H降雨量(mm) |
| wind_spd_10 | 10m风速 |
| u10data | 10mU风 |
| v10data | 10mV风 |
| 参数名 | 类型 | 说明 |
| status | int | 状态码,非0表示没有正常获取到数据 |
| region | String | 区域id或区域名称 |
| time | String | 请求时间,格式:yyyyMMddHHmmss,统一到UTC |
| timeRange | String[] | 请求的数据时间范围,格式:yyyyMMddHH |
| urls | Object | 时间序列对应的文件,每个时次包括一个webp/png文件和一个json文件 |
请求示例
https://api.open.geovisearth.com/pj/v2/view/nowcastGlobal/mfv/precipint/curr?region=seas_eqwp&token=您的token返回示例
{
"status": 0,
"version": "v1",
"date": {
"time": "20250904080251",
"timeZone": "UTC"
},
"result": {
"dataCode": "gmlp_seas_eqwp",
"productCode": "mfv",
"meteCode": "precipint",
"timeRange": [
"202509040702",
"202509041002"
],
"urls": {
"202509040706": [
"https://io-qos.geovisearth.com/getfile/35/visual/vucloud/mfv/gmlp/gmlp_seas_eqwp/202509/040648/precipint_202509040706b59f1c52938d93d150.webp",
"https://io-qos.geovisearth.com/getfile/35/visual/vucloud/mfv/gmlp/gmlp_seas_eqwp/202509/040648/precipint_202509040706b59f1c52938d93d150.json"
],
"202509040712": [
"https://io-qos.geovisearth.com/getfile/35/visual/vucloud/mfv/gmlp/gmlp_seas_eqwp/202509/040712/precipint_202509040712b81944f68729a89df8.webp",
"https://io-qos.geovisearth.com/getfile/35/visual/vucloud/mfv/gmlp/gmlp_seas_eqwp/202509/040712/precipint_202509040712b81944f68729a89df8.json"
],
"202509040718": [
"https://io-qos.geovisearth.com/getfile/35/visual/vucloud/mfv/gmlp/gmlp_seas_eqwp/202509/040712/precipint_20250904071815c0f15730eff107b5.webp",
"https://io-qos.geovisearth.com/getfile/35/visual/vucloud/mfv/gmlp/gmlp_seas_eqwp/202509/040712/precipint_20250904071815c0f15730eff107b5.json"
],
"202509040930": [
"https://io-qos.geovisearth.com/getfile/35/visual/vucloud/mfv/gmlp/gmlp_seas_eqwp/202509/040712/precipint_202509040930ad82edf7d5d0999e3b.webp",
"https://io-qos.geovisearth.com/getfile/35/visual/vucloud/mfv/gmlp/gmlp_seas_eqwp/202509/040712/precipint_202509040930ad82edf7d5d0999e3b.json"
],
"202509040936": [
"https://io-qos.geovisearth.com/getfile/35/visual/vucloud/mfv/gmlp/gmlp_seas_eqwp/202509/040712/precipint_202509040936f7fa6c95da99266ea1.webp",
"https://io-qos.geovisearth.com/getfile/35/visual/vucloud/mfv/gmlp/gmlp_seas_eqwp/202509/040712/precipint_202509040936f7fa6c95da99266ea1.json"
],
"202509040942": [
"https://io-qos.geovisearth.com/getfile/35/visual/vucloud/mfv/gmlp/gmlp_seas_eqwp/202509/040712/precipint_202509040942a495774ed7dc8c7cf4.webp",
"https://io-qos.geovisearth.com/getfile/35/visual/vucloud/mfv/gmlp/gmlp_seas_eqwp/202509/040712/precipint_202509040942a495774ed7dc8c7cf4.json"
],
"202509040948": [
"https://io-qos.geovisearth.com/getfile/35/visual/vucloud/mfv/gmlp/gmlp_seas_eqwp/202509/040712/precipint_202509040948d800c7c7a3970f958e.webp",
"https://io-qos.geovisearth.com/getfile/35/visual/vucloud/mfv/gmlp/gmlp_seas_eqwp/202509/040712/precipint_202509040948d800c7c7a3970f958e.json"
],
"202509040954": [
"https://io-qos.geovisearth.com/getfile/35/visual/vucloud/mfv/gmlp/gmlp_seas_eqwp/202509/040712/precipint_2025090409541f31bb3c155d23eebe.webp",
"https://io-qos.geovisearth.com/getfile/35/visual/vucloud/mfv/gmlp/gmlp_seas_eqwp/202509/040712/precipint_2025090409541f31bb3c155d23eebe.json"
],
"202509041000": [
"https://io-qos.geovisearth.com/getfile/35/visual/vucloud/mfv/gmlp/gmlp_seas_eqwp/202509/040712/precipint_2025090410009b3a4a1d47ad61d264.webp",
"https://io-qos.geovisearth.com/getfile/35/visual/vucloud/mfv/gmlp/gmlp_seas_eqwp/202509/040712/precipint_2025090410009b3a4a1d47ad61d264.json"
]
}
}
}