Meteorological and snow data collected during four sublimation and melt field experiments at the Sierra Nevada Ski resort (Spain), Spring 2024

This dataset contains high‑resolution meteorological and snowpack measurements collected during four field experiments with sublimation/melting pans conducted in spring 2024 at the Sierra Nevada Ski Resort (Granada, Spain). The experiments were designed to quantify snow sublimation and melt dynamics under varying atmospheric, snow type and surface conditions in a high‑elevation Mediterranean environment. The field campaigns were carried out between April and May 2024 on selected ski‑resort plots representing typical late‑season snow conditions, groomed and ungroomed. Each experiment included continuous meteorological monitoring and repeated in‑situ snow observations to capture short‑term variations in the surface energy balance and snow mass loss processes. Instrumentation and Measurements Meteorological variables were recorded using research‑grade sensors connected to a Campbell Scientific CR200 datalogger, including: Air temperature and relative humidity (WXT510 Weather Transmitter Vaisala) Wind speed and direction (WXT510 Weather Transmitter Vaisala) Incoming shortwave radiation (CS300 Campbell Scientific piranometer) Atmospheric pressure (WXT510 Weather Transmitter Vaisala) Snowpack properties were monitored through: Manual snow depth measurements Snow density sampling 10-cm temperature measurements (109 Campbell Scientific Temperature probes) Meteorological data were logged at high temporal resolution (1 minute) and processed to ensure internal consistency and quality control. Each experiment corresponds to a separate field test with its own time window. The sampling frequency was consistent across experiments. Dataset Contents The repository includes: Raw and quality‑controlled meteorological time series Snowpack measurements for each experiment Intended Use These data support research on: Sublimation and melt processes in seasonal snowpacks Surface energy balance modeling Hydrological and cryospheric studies in Mediterranean mountain regions Validation of snow models and remote‑sensing products The dataset is released to support reproducibility and foster further research on snow hydrology and mountain climatology.本数据集包含2024年春季在西班牙格拉纳达内华达山脉滑雪场开展的4组搭载升华/融雪盘的野外试验所采集的高分辨率气象与雪层观测数据。本试验旨在量化高海拔地中海环境下，不同大气条件、雪层类型与地表条件下的积雪升华与融雪动力学过程。 本次野外工作于2024年4月至5月间开展，选取了滑雪场中代表典型季末积雪状况的雪道（包括压雪与未压雪区域）作为试验样地。每组试验均包含连续气象监测与重复原位积雪观测，以捕捉地表能量平衡与积雪质量损失过程的短期变化。 仪器与测量方案 气象变量通过连接至Campbell Scientific CR200数据采集器的科研级传感器采集，具体包括： - 空气温度与相对湿度（Vaisala WXT510型气象变送器） - 风速与风向（Vaisala WXT510型气象变送器） - 入射短波辐射（Campbell Scientific CS300型总辐射表） - 大气压力（Vaisala WXT510型气象变送器） 雪层特性通过以下方式监测： - 人工雪深测量 - 雪密度采样 - 10厘米深度雪温测量（Campbell Scientific 109型温度探头） 气象数据以高时间分辨率（1分钟）进行记录，并经过内部一致性校验与质量控制处理。每组试验对应独立的野外测试时段，所有试验的采样频率保持一致。 数据集内容 本数据集存储内容包括： - 原始与经过质量控制的气象时间序列数据 - 各组试验对应的雪层观测数据 预期用途 本数据集可支撑以下研究方向： - 季节性积雪区的升华与融雪过程研究 - 地表能量平衡模型研究 - 地中海山地的水文与冰冻圈研究 - 积雪模型与遥感产品的验证研究 本数据集公开发布，旨在支持研究可重复性，并推动积雪水文与山地气候学领域的后续研究。