A lake ice phenology dataset for the Northern Hemisphere based on passive microwave remote sensing

IF 4.2 3区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Big Earth Data Pub Date : 2021-12-08 DOI:10.1080/20964471.2021.1992916
Xingxing Wang, Y. Qiu, Yixiao Zhang, J. Lemmetyinen, B. Cheng, Wenshan Liang, M. Leppäranta
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引用次数: 6

Abstract

ABSTRACT Lake ice phenology (LIP) is an essential indicator of climate change and helps with understanding of the regional characteristics of climate change impacts. Ground observation records and remote sensing retrieval products of lake ice phenology are abundant for Europe, North America, and the Tibetan Plateau, but there is a lack of data for inner Eurasia. In this work, enhanced-resolution passive microwave satellite data (PMW) were used to investigate the Northern Hemisphere Lake Ice Phenology (PMW LIP). The Freeze Onset (FO), Complete Ice Cover (CIC), Melt Onset (MO), and Complete Ice Free (CIF) dates were derived for 753 lakes, including 409 lakes for which ice phenology retrievals were available for the period 1978 to 2020 and 344 lakes for which these were available for 2002 to 2020. Verification of the PMW LIP using ground records gave correlation coefficients of 0.93 and 0.84 for CIC and CIF, respectively, and the corresponding values of the RMSE were 11.84 and 10.07 days. The lake ice phenology in this dataset was significantly correlated (P<0.001) with that obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) data – the average correlation coefficient was 0.90 and the average RMSE was 7.87 days. The minimum RMSE was 4.39 days for CIF. The PMW is not affected by the weather or the amount of sunlight and thus provides more reliable data about the freezing and thawing process information than MODIS observations. The PMW LIP dataset provides the basic freeze–thaw data that is required for research into lake ice and the impact of climate change in the cold regions of the Northern Hemisphere. The dataset is available at http://www.doi.org/10.11922/sciencedb.j00076.00081.
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基于被动微波遥感的北半球湖冰物候数据集
湖冰物候(LIP)是反映气候变化的重要指标,有助于了解气候变化影响的区域特征。欧洲、北美和青藏高原湖冰物候的地面观测记录和遥感反演产品丰富,但欧亚大陆内部缺乏相关数据。本文利用增强分辨率无源微波卫星数据(PMW)研究了北半球湖冰物候(PMW LIP)。研究了753个湖泊的冻结开始(FO)、完全覆盖(CIC)、融化开始(MO)和完全无冰(CIF)日期,其中409个湖泊在1978 - 2020年有冰物候资料,344个湖泊在2002 - 2020年有冰物候资料。利用地面记录对PMW LIP进行验证,CIC和CIF的相关系数分别为0.93和0.84,对应的RMSE值分别为11.84和10.07天。该数据集的湖冰物候与MODIS数据具有显著的相关(P<0.001),平均相关系数为0.90,平均RMSE为7.87 d。CIF最低RMSE为4.39天。PMW不受天气或日照量的影响,因此提供了比MODIS观测更可靠的冻融过程资料。PMW LIP数据集提供了研究北半球寒冷地区湖泊冰和气候变化影响所需的基本冻融数据。该数据集可在http://www.doi.org/10.11922/sciencedb.j00076.00081上获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Big Earth Data
Big Earth Data Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
7.40
自引率
10.00%
发文量
60
审稿时长
10 weeks
期刊最新文献
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