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Assessment of Atmospheric Reanalysis Data Based on Buoy Observations over the Tropical Western Indian Ocean in 2019

Journal of Ocean University of China 2023年第4期22卷 863-873页

作者： LUO Yulan LIU Lin paul oloo PHILIP Sagero LI Kuiping YANG Yang SU Qinglei LI Qiuchi MIAO Zichen First Institute of Oceanography Ministry of Natural Resources and Laboratory for Regional Oceanography and Numerical ModelingPilot National Laboratory for Marine Science and TechnologyQingdao 266061China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 510275China Kenya Meteorological Department Nairobi 30259Kenya Department of Geography Earth Science and EnvironmentThe University of the South PacificBag Suva 17257Fiji

Atmospheric reanalysis data are an important data source for studying weather and climate *** sea surface wind and sea level pressure observations measured from a real-time buoy system deployed in Kenya’s offshore area in 2019 conducted jointly by Chinese and Kenyan scientists were used to evaluate the performance of the major high-frequency atmospheric reanalysis products in the western Indian Ocean *** with observations,the sea level pressure field could be accurately simulated using the atmospheric reanalysis ***,significant discrepancies existed between the surface wind reanalysis data,especially between meridional wind and the observational *** of the data provide a complete understanding of sea level pressure,except for the Japanese 55-year Reanalysis data,which hold a significant system *** Modern-Era Reanalysis for Research and Applications,Version-2,provides an improved description of all *** the reanalysis datasets for zonal wind underestimate the strength during the study *** reanalysis data,NCEP-DOE Atmospheric Model Intercomparison Project reanalysis data presents an inaccurate description due to the worst correlation with the *** meridional wind,most reanalysis datasets underestimate the variance,while the European Centre for Medium-Range Weather Forecasts Atmospheric Composition Reanalysis 4 has a larger variance than the *** addition to the original data comparison,the diurnal variability of sea level pressure and surface wind are also assessed,and the result indicates that the diurnal variations have a significant gap between observation and reanalysis *** study indicates that the current high-frequency reanalysis data still have disadvantages when describing the atmospheric parameters in the Western Indian Ocean region.

关键词： Bailong buoy reanalysis Indian Ocean sea level pressure surface wind

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Towards Increasing Data Availability for Meteorological Services: Inter-Comparison of Meteorological Data from a Synoptic Weather Station and Two Automatic Weather Stations in Kenya

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American Journal of Climate Change 2021年第3期10卷 300-316页

作者： Richard Muita paul Kucera Stella Aura David Muchemi David Gikungu Samuel Mwangi Martin Steinson paul oloo Nicholas Maingi Ezekiel Muigai Mwaura Kamau Kenya Meteorological Department Institute for Meteorological Training and Research Nairobi Kenya University Corporation for Atmospheric Research/National Centre for Atmospheric Research (UCAR/NCAR) Boulder USA

Meteorological data is useful for varied applications and sectors ranging from weather and climate forecasting, landscape planning to disaster management among others. However, the availability of these data requires a good network of manual meteorological stations and other support systems for its collection, recording, processing, archiving, communication and dissemination. In sub-Saharan Africa, such networks are limited due to low investment and capacity. To bridge this gap, the National Meteorological Services in Kenya and few others from African countries have moved to install a number of Automatic Weather Stations (AWSs) in the past decade including a few additions from private institutions and individuals. Although these AWSs have the potential to improve the existing observation network and the early warning systems in the region, the quality and capacity of the data collected from the stations are not well exploited. This is mainly due to low confidence, by data users, in electronically observed data. In this study, we set out to confirm that electronically observed data is of comparable quality to a human observer recorded data, and can thus be used to bridge data gaps at temporal and spatial scales. To assess this potential, we applied the simple Pearson correlation method and other statistical tests and approaches by conducting inter-comparison analysis of weather observations from the manual synoptic station and data from two Automatic Weather Stations (TAHMO and 3D-PAWS) co-located at KMD Headquarters to establish existing consistencies and variances in several weather parameters. Results show there is comparable consistency in most of the weather parameters between the three stations. Strong associations were noted between the TAHMO and manual station data for minimum (r = 0.65) and maximum temperatures (r = 0.86) and the maximum temperature between TAHMO and 3DPAWS (r = 0.56). Similar associations were indicated for surface pressure (r = 0.99) and R

关键词： Meteorological Data Manual Weather Station Automatic Weather Station Correlation

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