Interpolated climate variables for the Himalayan Kingdom of Bhutan

Monthly (1985-2020) and monthly mean (1986-2015) surfaces of maximum temperature, minimum temperature, vapour pressure and precipitation for the Himalayan Kingdom of Bhutan at a spatial resolution of 250 m. These climate surfaces are novel, in that the weather stations (n = 69) used in their development have rarely been made available or incorporated into contemporary climate products. Multiple calibration methods are provided for maximum and minimum temperature, following the methods described in by Stewart et al. (2017).\n\nPlease refer to the attached documentation for a detailed description of methods applied, statistical performance, and comparisons against other contemporary products.\nLineage: Please refer to the attached documentation, Stewart et al. (2017) and Stewart et al. (2022) for a detailed description of the methods applied.\n\nCitation for climatologies: Stewart SB, Choden K, Keenan R, Nitschke CR. 2017. The role of topography and the north Indian monsoon on mean monthly climate interpolation within the Himalayan Kingdom of Bhutan. International Journal of Climatology. 37(S1): 897-909. doi: 10.1002/joc.5045.\n\nCitation for monthly surfaces: Stewart SB, Fedrigo M, Kasel S, Roxburgh SH, Choden K, Tenzin K, Allen K, Nitschke CR. 2022. Predicting plant species distributions using climate-based model ensembles with corresponding measures of congruence and uncertainty. Diversity and Distributions. 28: 1105– 1122. https://doi.org/10.1111/ddi.13515

本数据集覆盖喜马拉雅王国不丹全境，包含1985-2020年逐月以及1986-2015年月均的最高气温、最低气温、水汽压与降水的气候表面（climate surface）数据，空间分辨率为250米。该套气候表面数据具有创新性：其构建过程中使用的共计69个气象站点数据极少对外公开，也未被整合入当代主流气候产品中。本数据集针对最高、最低气温提供了多种校准方法，校准流程遵循Stewart等人（2017）提出的技术方案。

有关所用方法的详细说明、统计性能评估以及与其他当代气候产品的对比分析，请参阅随附文档。

数据溯源：有关所用方法的详细说明，请参阅随附文档以及Stewart等人2017年、2022年的研究成果。

气候态数据集引用格式：Stewart SB, Choden K, Keenan R, Nitschke CR. 2017. 喜马拉雅王国不丹境内月均气候插值中的地形与北印度洋季风作用. 《国际气候学杂志（International Journal of Climatology）》37(S1): 897-909. DOI: 10.1002/joc.5045.

逐月气候表面数据集引用格式：Stewart SB, Fedrigo M, Kasel S, Roxburgh SH, Choden K, Tenzin K, Allen K, Nitschke CR. 2022. 基于气候模型集合的植物物种分布预测及其一致性与不确定性评估. 《多样性与分布（Diversity and Distributions）》28: 1105–1122. https://doi.org/10.1111/ddi.13515