从月平均数据中计算累计度日并构建全球地图以用于生态和地理建模的方法

IF 1.4 4区地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES

Russian Meteorology and Hydrology Pub Date : 2024-05-28 DOI:10.3103/s1068373924030075

A. N. Afonin, E. A. Milyutina, D. L. Musolin

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引用次数: 0

摘要

摘要累积度日是生态和地理建模中生物分布最重要的指标之一。本文分析了现有的几种累计度日计算方法，提出了一种改进的计算方法，并展示了一套用改进方法绘制的全球累计度日分布图。绘制的地图可公开获取，并可用于生态和地理分析及建模。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Methods for Calculating Accumulated Degree-days from Monthly Mean Data and Constructing the Global Maps for Ecological and Geographical Modeling

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Methods for Calculating Accumulated Degree-days from Monthly Mean Data and Constructing the Global Maps for Ecological and Geographical Modeling

Abstract

Accumulated degree-days are among the most significant indicators in ecological and geographical modeling of the distribution of biological objects. The present paper analyzes several existing methods for calculating accumulated degree-days, proposes an improved calculation method, and presents a set of the global maps of accumulated degree-days constructed using the improved method. The produced maps are publicly available and can be used for ecological and geographical analysis and modeling.

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来源期刊

Russian Meteorology and Hydrology METEOROLOGY & ATMOSPHERIC SCIENCES-

CiteScore

1.70

自引率

28.60%

发文量

审稿时长

4-8 weeks

期刊介绍： Russian Meteorology and Hydrology is a peer reviewed journal that covers topical issues of hydrometeorological science and practice: methods of forecasting weather and hydrological phenomena, climate monitoring issues, environmental pollution, space hydrometeorology, agrometeorology.