{"title":"从高空温度、压力和位势高度测定可降水量","authors":"António P. Ferreira, Luis Gimeno","doi":"10.1002/qj.4609","DOIUrl":null,"url":null,"abstract":"Abstract Radiosonde measurements of relative humidity (RH) are the main source of uncertainty in precipitable water vapor (PWV) calculation from pressure, temperature, and RH/dewpoint (PTU) data. This paper presents a formula expressing PWV in terms of pressure and temperature as functions of geopotential height (GPH), thereby allowing the PWV to be determined: 1) without any moisture‐related calculations other than those involved in measuring GPH (in radiosondes with a pressor sensor) or pressure (otherwise); 2) without relying on humidity measurements by using GPS‐based GPH according to the gravity field, provided that pressure is directly measured. The numerical instability associated with random data errors or deviations from hydrostatic equilibrium makes the second approach unfeasible on short time scales, revealing discrepancies between the PTU‐ and GPS‐based GPHs; however, the estimation of long‐term average PWV above a location is not hindered. The estimation of PWV without humidity data was tested using high‐resolution data from 62 upper‐air stations operated by the NOAA National Weather Service. The seasonal mean {DJF, MAM, JJA, SON} PWV from the surface to 300‐hPa calculated from PT and GPS data over the period 2016–2018, after rejecting individual estimates inconsistent with the 0–100% RH range, showed a mean bias error of {‐0.1, +0.1, ‐1.4, ‐0.9} kg m ‐2 relative to the PTU‐based values across the stations, and a RMSE ranging from 2.4 (DJF) to 3.2 (JJA) kg m –2 . By restricting the analysis to observations with above‐average matching between the PTU‐ and GPS‐based GPH, the bias magnitude and RMSE reduced respectively to less than 0.5 and 1 kg m –2 in all seasons. The results indicate that evaluating the long‐term agreement between the two PWV calculation methods at different sites could be useful in detecting systematic observation errors in GPS radiosonde systems using a pressure sensor. This article is protected by copyright. All rights reserved.","PeriodicalId":49646,"journal":{"name":"Quarterly Journal of the Royal Meteorological Society","volume":"6 24","pages":"0"},"PeriodicalIF":3.0000,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Determining precipitable water vapor from upper‐air temperature, pressure and geopotential height\",\"authors\":\"António P. 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The numerical instability associated with random data errors or deviations from hydrostatic equilibrium makes the second approach unfeasible on short time scales, revealing discrepancies between the PTU‐ and GPS‐based GPHs; however, the estimation of long‐term average PWV above a location is not hindered. The estimation of PWV without humidity data was tested using high‐resolution data from 62 upper‐air stations operated by the NOAA National Weather Service. The seasonal mean {DJF, MAM, JJA, SON} PWV from the surface to 300‐hPa calculated from PT and GPS data over the period 2016–2018, after rejecting individual estimates inconsistent with the 0–100% RH range, showed a mean bias error of {‐0.1, +0.1, ‐1.4, ‐0.9} kg m ‐2 relative to the PTU‐based values across the stations, and a RMSE ranging from 2.4 (DJF) to 3.2 (JJA) kg m –2 . By restricting the analysis to observations with above‐average matching between the PTU‐ and GPS‐based GPH, the bias magnitude and RMSE reduced respectively to less than 0.5 and 1 kg m –2 in all seasons. The results indicate that evaluating the long‐term agreement between the two PWV calculation methods at different sites could be useful in detecting systematic observation errors in GPS radiosonde systems using a pressure sensor. This article is protected by copyright. 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引用次数: 0
摘要
无线电探空仪测量相对湿度(RH)是根据压力、温度和RH/露点(PTU)数据计算可降水量(PWV)的主要不确定性来源。本文提出了一个以压力和温度作为位势高度(GPH)函数来表示PWV的公式,从而可以确定PWV: 1)除了测量GPH(在带有压力传感器的无线电探空仪中)或压力(否则)所涉及的计算外,不需要任何与水分相关的计算;2)在直接测量压力的情况下,不依赖于根据重力场使用基于GPS的GPH测量湿度。与随机数据误差或流体静力平衡偏差相关的数值不稳定性使得第二种方法在短时间尺度上不可行,这揭示了基于PTU和GPS的GPHs之间的差异;但是,对某一地点上方的长期平均PWV的估计不会受到阻碍。利用NOAA国家气象局运营的62个高空站点的高分辨率数据,对没有湿度数据的PWV估计进行了测试。2016-2018年期间,利用PT和GPS数据计算的地表至300 hPa的季节平均{DJF, MAM, JJA, SON} PWV在剔除与0-100% RH范围不一致的个别估计后,相对于各台站基于PTU的值,平均偏差为{‐0.1,+0.1,‐1.4,‐0.9}kg m‐2,RMSE范围为2.4 (DJF)至3.2 (JJA) kg m‐2。通过将分析限制在PTU -和GPS - GPH匹配高于平均水平的观测值,偏差幅度和RMSE在所有季节分别减小到小于0.5和1 kg m -2。结果表明,评估两种PWV计算方法在不同地点的长期一致性可能有助于检测使用压力传感器的GPS无线电探空系统的系统观测误差。这篇文章受版权保护。版权所有。
Determining precipitable water vapor from upper‐air temperature, pressure and geopotential height
Abstract Radiosonde measurements of relative humidity (RH) are the main source of uncertainty in precipitable water vapor (PWV) calculation from pressure, temperature, and RH/dewpoint (PTU) data. This paper presents a formula expressing PWV in terms of pressure and temperature as functions of geopotential height (GPH), thereby allowing the PWV to be determined: 1) without any moisture‐related calculations other than those involved in measuring GPH (in radiosondes with a pressor sensor) or pressure (otherwise); 2) without relying on humidity measurements by using GPS‐based GPH according to the gravity field, provided that pressure is directly measured. The numerical instability associated with random data errors or deviations from hydrostatic equilibrium makes the second approach unfeasible on short time scales, revealing discrepancies between the PTU‐ and GPS‐based GPHs; however, the estimation of long‐term average PWV above a location is not hindered. The estimation of PWV without humidity data was tested using high‐resolution data from 62 upper‐air stations operated by the NOAA National Weather Service. The seasonal mean {DJF, MAM, JJA, SON} PWV from the surface to 300‐hPa calculated from PT and GPS data over the period 2016–2018, after rejecting individual estimates inconsistent with the 0–100% RH range, showed a mean bias error of {‐0.1, +0.1, ‐1.4, ‐0.9} kg m ‐2 relative to the PTU‐based values across the stations, and a RMSE ranging from 2.4 (DJF) to 3.2 (JJA) kg m –2 . By restricting the analysis to observations with above‐average matching between the PTU‐ and GPS‐based GPH, the bias magnitude and RMSE reduced respectively to less than 0.5 and 1 kg m –2 in all seasons. The results indicate that evaluating the long‐term agreement between the two PWV calculation methods at different sites could be useful in detecting systematic observation errors in GPS radiosonde systems using a pressure sensor. This article is protected by copyright. All rights reserved.
期刊介绍:
The Quarterly Journal of the Royal Meteorological Society is a journal published by the Royal Meteorological Society. It aims to communicate and document new research in the atmospheric sciences and related fields. The journal is considered one of the leading publications in meteorology worldwide. It accepts articles, comprehensive review articles, and comments on published papers. It is published eight times a year, with additional special issues.
The Quarterly Journal has a wide readership of scientists in the atmospheric and related fields. It is indexed and abstracted in various databases, including Advanced Polymers Abstracts, Agricultural Engineering Abstracts, CAB Abstracts, CABDirect, COMPENDEX, CSA Civil Engineering Abstracts, Earthquake Engineering Abstracts, Engineered Materials Abstracts, Science Citation Index, SCOPUS, Web of Science, and more.