Error Analysis of Lake Ice Characteristics of ERA5-Land and FLake Model Improvement on the Qinghai-Xizang Plateau

Liuyiyi YANG; Lijuan WEN; Mengxiao WANG; Dongsheng SU; Jingwei DONG

doi:10.7522/j.issn.1000-0534.2024.00011

Plateau Meteorology >

2024 , Vol. 43 >Issue 5: 1125 - 1137

DOI: https://doi.org/10.7522/j.issn.1000-0534.2024.00011

Error Analysis of Lake Ice Characteristics of ERA5-Land and FLake Model Improvement on the Qinghai-Xizang Plateau

Liuyiyi YANG ,
Lijuan WEN ,
Mengxiao WANG ,
Dongsheng SU ,
Jingwei DONG

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1. Qinghai Lake Comprehensive Observation and Research station，Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences，Lanzhou 730000，Gansu，China
2. University of Chinese Academy of Sciences，Beijing 100049，China
3. College of Atmospheric Sciences，Chengdu University of Information Technology，Chengdu 610225，Sichuan，China

Received date: 2023-06-24

Revised date: 2024-02-04

Online published: 2024-02-04

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Abstract

The Qinghai-Xizang Plateau， distinguished by its vast array of lakes， exhibits marked seasonal lake ice coverage， which is highly responsive to climatic shifts.This ice coverage plays a crucial role in the dynamic interchange of fluxes between the lake surfaces and the atmosphere.Despite the significance of these ice phenomena， the limited availability of extensive， long-term observational data on plateau lake ice has led to a reliance on reanalyzed ice datasets， particularly ERA5-Land.This study aims to rigorously evaluate the effectiveness and potential enhancements of ERA5-Land's lake ice data in the distinct environment of the Qinghai-Xizang Plateau.Focusing on data collected from 2010 to 2022 for Qinghai Lake and Ngoring Lake， this research meticulously examines the ERA5-Land reanalysis data's ability to accurately capture the intrinsic characteristics of plateau lake ice.The study uncovered that ERA5-Land tends to overestimate the ice thickness by about 0.54~0.62 m and erroneously prolongs the freezing period by roughly 68 days per year for these lakes.This notable discrepancy necessitated an in-depth error analysis， which synthesized ERA5-Land data with direct observational data from Ngoring Lake， revealing that inaccuracies primarily originated from the FLake one-dimensional lake model within the ERA5-Land system.In an effort to address these inaccuracies， the study employed the MCD43A3 surface albedo product for both Qinghai Lake and Ngoring Lake over the same period.This innovative approach significantly refined the FLake model by incorporating both a multi-year average albedo and a dynamic daily average albedo.These methodological improvements led to a substantial reduction in the average bias of ice thickness， by 85% and 90% respectively， and narrowed the deviation in the modeled freezing period by about 6 and 8 days per year.The enhancements were particularly notable in lakes with longer periods of snow cover， where the dynamic albedo adjustment proved to be highly effective.This research has successfully identified the albedo parameter within the FLake model as a key source of error in ERA5-Land's lake ice characterizations and has implemented practical adjustments to rectify this.These enhancements have markedly increased the model's precision in simulating lake ice， thereby significantly improving the accuracy of ERA5-Land reanalyzed lake ice data.This advancement is particularly pertinent for the unique climatic and geographical conditions of Qinghai Lake and Ngoring Lake on the Qinghai-Xizang Plateau and offers invaluable insights for future research and practical applications in this domain.The findings of this study contribute profoundly to our understanding and modeling of lake ice phenomena in high-altitude regions and have broader implications for climatological research and environmental monitoring on the Qinghai-Xizang Plateau.

Key words： Qinghai-Xizang Plateau; lake ice; ERA5-Land; FLake model; parameter optimization

Cite this article

Liuyiyi YANG , Lijuan WEN , Mengxiao WANG , Dongsheng SU , Jingwei DONG . Error Analysis of Lake Ice Characteristics of ERA5-Land and FLake Model Improvement on the Qinghai-Xizang Plateau[J]. Plateau Meteorology, 2024 , 43(5) : 1125 -1137 . DOI: 10.7522/j.issn.1000-0534.2024.00011

References

null	Alghamdi A S， 2020.Evaluation of four reanalysis datasets against radiosonde over Southwest Asia［J］.Atmosphere， 11（4）： 402.DOI： 10.3390/atmos11040402 .
null	Bai Q X， Li R L， Li Z J， et al， 2016.Time-series analyses of water temperature and dissolved oxygen concentration in Lake Valkea-Kotinen （Finland） during ice season［J］.Ecological Informatics， 36： 181-189.DOI： 10.1016/j.ecoinf.2015.06.009 .
null	Balsamo G， Albergel C， Beljaars A， et al， 2015.ERA-Interim/Land： a global land surface reanalysis data set［J］.Hydrology and Earth System Sciences， 19（1）： 389-407.DOI： 10.5194/hess-19-389-2015 .
null	Bernus A， Ottlé C， 2022.Modeling subgrid lake energy balance in ORCHIDEE terrestrial scheme using the FLake lake model［J］.Geoscientific Model Development， 15（10）： 4275-4295.DOI： 10.5194/gmd-15-4275-2022 .
null	Bernus A， Ottlé C， Raoult N， 2021.Variance based sensitivity analysis of FLake Lake Model for global land surface modeling［J］.Journal of Geophysical Research： Atmospheres， 126（8）： e2019JD031928. DOI：10.1029/2019JD031928 .
null	Bongioannini C P， Saraceni M， Silvestri L， et al， 2022.Monitoring the water mass balance variability of small shallow lakes by an ERA5-Land Reanalysis and water level measurement-based model.An application to the Trasimeno Lake， Italy［J］.Atmosphere， 13（6）： 949.DOI： 10.3390/atmos13060949 .
null	Dutra E， Stepanenko V M， Balsamo G， et al， 2010.An offline study of the impact of lakes on the performance of the ECMWF surface scheme［J］.Boreal Environment Research， 15： 100-112.
null	ECMWF， 2022.ERA5-Land： data documentation.
null	Efremova T V， Pal’shin N I， 2011.Ice phenomena terms on the water bodies of Northwestern Russia［J］.Russian Meteorology and Hydrology， 36（8）： 559-565.DOI： 10.3103/S1068373911080085 .
null	Filazzola A， Blagrave K， Imrit M A， et al， 2020.Climate change drives increases in extreme events for lake ice in the Northern Hemisphere［J］.Geophysical Research Letters， 47（18）： e2020GL089608.DOI：10.1029/2020GL089608 .
null	Huang L， Wang X H， Sang Y X， et al， 2021.Optimizing lake surface water temperature simulations over large lakes in China With FLake Model［J］.Earth and Space Science， 8（8）［2023-03-09］. DOI： 10.1029/2021EA001737 .
null	Immerzeel W W， Van Beek L P H， Bierkens M F P， 2010.Climate change will affect the Asian water towers［J］.Science， 328（5984）： 1382-1385.DOI： 10.1126/science.1183188 .
null	Jiao M D， Zhao L， Wang C， et al， 2023.Spatiotemporal variations of Soil temperature at 10 and 50 cm depths in permafrost regions along the Qinghai-Tibet Engineering Corridor［J］.Remote Sensing， 15（2）： 455.DOI： 10.3390/rs15020455 .
null	Kirillin G， Hochschild J， Mironov D， et al， 2011.FLake-global： online lake model with worldwide coverage［J］.Environmental Modelling & Software， 26（5）： 683-684.DOI： 10.1016/j.envsoft.2010.12.004 .
null	Lang J H， Lyu S H， Li Z H， et al， 2018.An Investigation of ice surface albedo and its influence on the high-altitude lakes of the Tibetan Plateau［J］.Remote Sensing， 10（2）： 218.DOI： 10.3390/rs10020218 .
null	Layden A， MacCallum S N， Merchant C J， 2016.Determining lake surface water temperatures worldwide using a tuned one-dimensional lake model （FLake， v1）［J］.Geoscientific Model Development， 9（6）： 2167-2189.DOI： 10.5194/gmd-9-2167-2016 .
null	Lazhu， Yang K， Wang J B， et al， 2016.Quantifying evaporation and its decadal change for Lake Nam Co， central Tibetan Plateau： LAKE EVAPORATION AND ITS CHANGE［J］.Journal of Geophysical Research： Atmospheres， 121（13）： 7578-7591.DOI： 10.1002/2015JD024523 .
null	Lepp?ranta M， 2014.Freezing of lakes and the evolution of their ice cover［M］.Springer， Berlin， Heidelberg.
null	Li H Y， Chen R S， Han C T， et al， 2022.Evaluation of the spatial and temporal variations of condensation and desublimation over the Qinghai-Tibet Plateau based on penman model using hourly ERA5-Land and ERA5 reanalysis datasets［J］.Remote Sensing， 14（22）： 5815.DOI： 10.3390/rs14225815 .
null	Li X D， Long D， Huang Q， et al， 2022.The state and fate of lake ice thickness in the Northern Hemisphere［J］.Science Bulletin， 67（5）： 537-546.DOI： 10.1016/j.scib.2021.10.015 .
null	Li Z G， Ao Y H， Lyu S H， et al， 2018.Investigation of the ice surface albedo in the Tibetan Plateau lakes based on the field observation and MODIS products［J］.Journal of Glaciology， 64（245）： 506-516.DOI： 10.1017/jog.2018.35 .
null	Li Z G， Lyu S H， Wen L J， et al， 2021.Study of freeze-thaw cycle and key radiation transfer parameters in a Tibetan Plateau lake using LAKE2.0 model and field observations［J］.Journal of Glaciology， 67（261）： 91-106.DOI： 10.1017/jog.2020.87 .
null	Lin D J， Yuan X， Jia B H， et al， 2023.Assessment of high-resolution surface soil moisture products over the Qinghai-Tibet Plateau for 2009-2017［J］.Atmosphere， 14（2）： 302.DOI： 10. 3390/atmos14020302 .
null	Meng X L， Lyu S H， Li Z G， et al， 2023.Dataset of comparative observations for land surface processes over the semi-arid alpine grassland against alpine lakes in the source region of the Yellow River［J］.Advances in Atmospheric Sciences，［2023-03-07］.
null	Mironov D， 2008. Parameterization of lakes in numerical weather prediction： Description of a lake model COSMO［M］. Deutscher Wetterdienst： Tech Rep No. 11. Deutscher Wetterdienst Offenbach am Main， Germany.
null	Mu?oz-Sabater J， Dutra E， Agustí-Panareda A， et al， 2021.ERA5-Land： a state-of-the-art global reanalysis dataset for land applications［J］.Earth System Science Data， 13（9）： 4349-4383.DOI： 10.5194/essd-13-4349-2021 .
null	Qiu Y B， 2019.River lake ice phenology data in QPT V1.0 （2002-2018）［DB］.National Tibetan Plateau / Third Pole Environment Data Center.DOI.org/10.11888/Meteoro.tpdc.270236.
null	Rakhmatova N， Arushanov M， Shardakova L， et al， 2021.Evaluation of the perspective of ERA-Interim and ERA5 reanalyses for calculation of drought indicators for Uzbekistan［J］.Atmosphere， 12（5）： 527.DOI： 10.3390/atmos12050527 .
null	Román M O， Schaaf C B， Lewis P， et al， 2010.Assessing the coupling between surface albedo derived from MODIS and the fraction of diffuse skylight over spatially-characterized landscapes［J］.Remote Sensing of Environment， 114（4）： 738-760.DOI： 10.1016/j.rse.2009.11.014 .
null	Salgado R， Moigne P L， 2010.Coupling of the FLake model to the SURFEx externalized surface model［J］.Boreal Environment Research， 15（2）： 231-244.
null	Sharma S， Magnuson J J， Batt R D， et al， 2016.Direct observations of ice seasonality reveal changes in climate over the past 320-570 years［J］.Scientific Reports， 6（1）： 25061.DOI： 10.1038/srep25061 .
null	Su D S， Hu X Q， Wen L J， et al， 2019.Numerical study on the response of the largest lake in China to climate change［J］.Hydrology and Earth System Sciences， 23（4）： 2093-2109.DOI： 10. 5194/hess-23-2093-2019 .
null	Vavrus S J， Wynne R H， Foley J A， 1996.Measuring the sensitivity of southern Wisconsin lake ice to climate variations and lake depth using a numerical model［J］.Limnology and Oceanography， 41（5）： 822-831.DOI： 10.4319/lo.1996.41.5.0822 .
null	Vavrus S， Notaro M， Zarrin A， 2013.The role of ice cover in heavy lake-effect snowstorms over the Great Lakes Basin as simulated by RegCM4［J］.Monthly Weather Review， 141（1）： 148-165.DOI： 10.1175/MWR-D-12-00107.1 .
null	Wen L J， Lyu S H， Kirillin G， et al， 2016.Airlake boundary layer and performance of a simple lake parameterization scheme over the Tibetan highlands［J］.Tellus A： Dynamic Meteorology and Oceanography， 68（1）： 31091.DOI： 10.3402/tellusa.v68.31091 .
null	Zhang G Q， Yao T D， Chen W F， et al， 2019.Regional differences of lake evolution across China during 1960s-2015 and its natural and anthropogenic causes［J］.Remote Sensing of Environment， 221： 386-404.DOI： 10.1016/j.rse.2018.11.038 .
null	Zhou X， Lazhu， Yao X N， et al， 2023.Understanding two key processes associated with alpine lake ice phenology using a coupled atmosphere-lake model［J］.Journal of Hydrology： Regional Studies， 46： 101334.DOI： 10.1016/j.ejrh.2023.101334 .
null	边晴云，吕世华，陈世强，等， 2016.黄河源区降雪对不同冻融阶段土壤温湿变化的影响［J］.高原气象， 35（3）： 621-632.DOI： 10.7522/j.issn.1000-0534.2016.00029.Bian Q Y ，
null	Lü S H， Chen S Q， et al， 2016.Influence of Snowfall on soil temprature and moisture in source region of the Yellow River during different freezing and thawing stages［J］.Plateau Meteorology， 35（3）： 621-632.DOI： 10.7522/j.issn.1000-0534.2016.00029 .
null	陈艳春，王娜，顾伟宗，等， 2017.环渤海区域再分析资料地面风速场的适用性对比分析［J］.海洋气象学报， 37（1）： 67-72.DOI： 10.19513/j.cnki.issn2096-3599.2017.01.007.Chen Y C ，
null	Wang N， Gu W C， et al， 2017.Comparative analysis of wind velocity of reanalysis datasets over the Bohai Rim Region［J］.Journal of Marine Meteorology， 37（1）： 67-72.DOI： 10.19513/j.cnki.issn2096-3599.2017.01.007 .
null	苟照君，刘峰贵， 2019.鄂陵湖［J］.全球变化数据学报（中英文）， 3（1）： 91-92+200-201.DOI： 10.3974/geodp.2019.03.14.Gou Z J ，
null	Liu F G， 2019.Ngoring Lake， Qinghai-Tibet Plateau， China［J］.Journal of Global Change Data & Discovery， 3（1）： 91-92+200-201.DOI： 10.3974/geodp.2019.03.14 .
null	李小雁，2020.祁连山综合观测网：青海湖流域地表过程综合观测网（青海湖湖面气象要素梯度观测系统-2019）［DB］.国家青藏高原科学数据中心.Li X Y， 2020.Qilian Mountains integrated observatory network： dataset of Qinghai Lake integrated observatory network （an observation system of Meteorological elements gradient of Yulei station on Qinghai lake， 2019）［DB］.National Tibetan Plateau / Third Pole Environment Data Center.DOI： 10.11888/Meteoro.tpdc.270732 .
null	马绎皓，毛睿，杨阳，等， 2023.ERA5再分析资料对甘肃省近地面风速气候特征及变化趋势再现能力的评估［J］.高原气象， 42（1）： 210-220.DOI： 10.7522/j.issn.1000-0534.2022.00030.Ma YH ，
null	Mao R， Yang Y， et al， 2023.Evaluation of the ERA5 reanalysis data on the near-surface wind speed climate characteristics and change trend reproduction ability in Gansu Province［J］.Plateau Meteorology， 42（1）： 210-220.DOI： 10.7522/j.issn.1000-0534.2022.00030 .
null	牛瑞佳，文莉娟，王梦晓，等， 2023.积雪和沙尘对冰封期青海湖辐射和温度的影响［J］.高原气象， 42（4）： 913-922.DOI： 10.7522/j.issn.1000-0534.2023.00021.Niu R J ，
null	Wen L J， Wang M X， et al， 2023.Effects of snow and dust on radiation and temperature in Qinghai Lake during ice-covered period［J］.Plateau Meteorology， 42（4）： 913-922.DOI： 10.7522/j.issn.1000-0534.2023.00021 .
null	青海省水利厅，青海省统计局， 2015.青海省第一次水利普查公报［J］.青海统计（10）： 34-39.
null	Qinghai Provincial Department of Water Resources， Qinghai Provincial Bureau of Statistics， 2015.Bulletin of the first water resources census in Qinghai Province［J］.Qinghai Statistics（10）： 34-39.
null	邱玉宝， 2019.青藏高原河湖冰物候数据集V1.0（2002-2018）［DB/OL］.国家青藏高原科学数据中心， DOI： 10.11888/Meteoro.tpdc. 270236.https： //cstr.cn/18406.11.Meteoro.tpdc.270236.Qiu Y B， 2019.River lake ice phenology data in QPT V1.0 （2002-2018）［DB/OL］.National Tibetan Plateau / Third Pole Environment Data Center.Doi.org/10.11888/Meteoro.tpdc. 270236.
null	汪关信，张廷军，李晓东，等， 2021.利用被动微波探测青海湖湖冰物候变化特征［J］.冰川冻土， 43（1）： 296-310.DOI： 10.7522/j.issn.1000-0240.2020.0528.Wang G X ，
null	Zhang T J， Li X D， et al， 2021.Detecting changes of ice phenology using satellite passive microwave remote sensing data in Qinghai Lake［J］.Journal of Glaciology and Geocryology， 43（1）： 296-310.DOI： 10.7522/j.issn.1000-0240.2020.0528 .
null	吴佳，吴婕，闫宇平， 2022.1961-2020年青藏高原地表风速变化及动力降尺度模拟评估［J］.高原气象， 41（4）： 963-976.DOI： 10.7522/j.issn.1000-0534.2022.00065.Wu J ，
null	Wu J， Yan Y P， 2022.Changes of surface wind speed over Qinghai-Xizang Plateau from 1961 to 2020 and evaluation of the dynamical downscaling simulations［J］.Plateau Meteorology， 41（4）： 963-976.DOI： 10.7522/j.issn.1000- 0534.2022.00065 .
null	姚檀栋，陈发虎，崔鹏，等， 2017.从青藏高原到第三极和泛第三极［J］.中国科学院院刊， 32（9）： 924-931.DOI： 10.16418/j.issn.1000-3045.2017.09.001.Yao T D ，
null	Chen F H， Cui P， et al， 2017.From Tibetan Plateau to Third Pole and Pan-Third Pole［J］.Bulletin of Chinese Academy of Sciences， 32（9）： 924-931.DOI： 10.16418/j.issn.1000-3045.2017.09.001 .
null	周柯， 2019.基于Landsat影像的青藏高原东北部典型湖泊面积时序变化研究［D］.北京：中国地质大学， DOI： 10.27493/d.cnki.gzdzy.2019.000987.Zhou K， 2019.Time series variation of typical lake area in northeastern Tibetan Plateau based on Landsat image［J］.Beijing： China University of Geosciences Beijing， DOI： 10.27493/d.cnki.gzdzy.2019.000987 .
null	周盛盛， 2021.青海湖水体面积4625.6平方公里增至17年来最大值［EB/OL］.青海省人民政府新闻办公室.2021.The water area of Qinghai Lake has increased to 4625.6square kilometers， the highest in 17 years［EB/OL］.Office Infomation， the People's Government of Qinghai Province.

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