Enhancing wildfire spread modelling by building a gridded fuel moisture...

DASH Search2026-03-14 收录

数据链接：

https://data.ucar.edu/dataset/enhancing-wildfire-spread-modelling-by-building-a-gridded-fuel-moisture-content-product-with-ma 数据链接链接失效反馈

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Wildland fire decision support systems require accurate predictions of wildland fire spread. Fuel moisture content (FMC) is one of the important parameters controlling the rate...

土壤湿度预测模型训练数据

湿度预测

机器学习

土壤湿度对农作物的生长、灌溉管理以及环境保护都具有重要影响。土壤温度对土壤湿度有较大影响。通过物联网设备采集同一地块的土壤温度、土壤湿度数据。结合土壤温度以及历史土壤湿度相关数据，建立土壤湿度预测模型，可以帮助预测土壤湿度变化趋势，指导农业生产和土壤管理。第一，在某一地块选定多个点位，部署物联网传感器，采集土壤温度、土壤湿度数据。共五个点位，五组传感器，每天早中晚三个时间点，将采集到的土壤数据，通

浙江省数据知识产权登记平台2023-09-13 更新1030

A Hybrid Physics-Guided Deep Learning Modeling Framework for Predicting Surface Soil Moisture

湿度预测

深度学习

<p>Accurate prediction of surface soil moisture (SSM) is vital for understanding the complex interactions between terrestrial and atmospheric processes, with significant implications for weather

DataCite Commons2025-12-18 更新230

Beaver (2014) wildfire growth curve reconstruction using nonconstant growth model

野火蔓延建模

火势动态重建

See project description for general summary of data structure. The attached file is table reporting the estimates of the posterior daily wildfire size time series for the Beaver Fire in California 201

NIAID Data Ecosystem40

2022年中国区域未来24小时湿度预报数据集

气象预测

湿度预测

本数据集为WRF模拟的24小时预报结果高分辨率数据集，包含要素为地面相对湿度。数据集水平分辨率为0.1°×0.1°，垂直高度为指定高度2米，时间分辨率为逐日。数据集范围覆盖全球，包含时间为2022年全年，投影方式为等经纬度投影。数据为netcdf格式。

地球大数据科学工程420

Supplement materials for publication: Seasonal forecasting of local-scale soil moisture droughts with Global BROOK90.

湿度预测

水文模型

Simulation results of soil moisture and model input data for 12 European small catchments with Global BROOK90 with ERA5 and ECMWF forecast for 2016-2020 time period. SMAP data for chosen catchments Sp

DataONE2023-01-23 更新120

Enhancing wildfire spread modelling by building a gridded fuel moisture...

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