High temporal resolution refractivity retrieval from radar phase measurements

Knowledge of the spatial and temporal variability of near-surface water vapor is of great importance to successfully model reliable radio communications systems and forecast atmospheric phenomena such as convective initiation and boundary layer processes. However, most current methods to measure atmospheric moisture variations hardly provide the temporal and spatial resolutions required for detection of such atmospheric processes. Recently, considering the high correlation between refractivity variations and water vapor pressure variations at warm temperatures, and the good temporal and spatial resolution that weather radars provide, the measurement of the refractivity with radar became of interest. Firstly, it was proposed to estimate refractivity variations from radar phase measurements of ground-based stationary targets returns. For that, it was considered that the backscattering from ground targets is stationary and the vertical gradient of the refractivity could be neglected. Initial experiments showed good results over flat terrain when the radar and target heights are similar. However, the need to consider the non-zero vertical gradient of the refractivity over hilly terrain is clear. Up to date, the methods proposed consider previous estimation of the refractivity gradient in order to correct the measured phases before the refractivity estimation. In this paper, joint estimation of the refractivity variations at the radar height and the refractivity vertical gradient variations using scan-to-scan phase measurement variations is proposed. To reduce the noisiness of the estimates, a least squares method is used. Importantly, to apply this algorithm, it is not necessary to modify the radar scanning mode. For the purpose of this study, radar data obtained during the Refractivity Experiment for H2O Research and Collaborative Operational Technology Transfer (REFRACTT_2006), held in northeastern Colorado (USA), are used. The refractivity estimates obtained show a good performance of the algorithm proposed compared to the refractivity derived from two automatic weather stations located close to the radar, demonstrating the possibility of radar based refractivity estimation in hilly terrain and non-homogeneous atmosphere with high spatial resolution.Ministerio de Economía y Competitividad | Ref. TEC2014-55735-C3-3-RXunta de Galicia | Ref. GRC2015/01

Refractivity observations from radar phase measurements: the 22 may 2002 dryline case during IHOP project

The dryline, often associated with the development of severe storms in the Southern Great Plains of the United States of America, is a boundary layer phenomenon that occurs when a warm and moist air mass from the Gulf of Mexico meets a hot and dry air mass from the southwest desert area. An accurate knowledge of the water vapor spatio-temporal variability in the lower part of the atmosphere is crucial for a better understanding of the evolution of the dryline. The tropospheric refractivity, directly related to water vapor content, is a proxy for the water vapor content of the troposphere. It has already been demonstrated that the refractivity and the refractivity vertical gradient can be jointly estimated from radar phase measurements. In fact, it has been shown that using kriging interpolation techniques, accurate refractivity maps within the coverage area of the radar can be obtained with high temporal resolution. In this paper, a detailed analysis of the time series of radar-based refractivity maps obtained during a dryline that occurred on the afternoon of 22 May 2002 during the International H2O Project (IHOP_2002) is presented. Comparisons between the time series of radar refractivity maps, obtained with the NCAR S-Pol radar, and the refractivity measurements derived from automatic ground-based weather stations and the AERI instrument, placed at different locations within the coverage area of the NCAR S-Pol radar, demonstrate the accuracy of radar refractivity estimates even for highly variable conditions, both in time and space, in the troposphere. Correlation coefficients higher than 0.95 are obtained in all weather station locations. Regarding the RMSE, errors less than 6 N-units are obtained for all cases, being even as low as 2.92 N-units at some locations.Agencia Estatal de Investigación | Ref. TED2021-130056B-I0

Radar-based refractivity maps using geostatistical interpolation

Tropospheric refractivity, which is closely related to temperature, pressure, and relative humidity, is a valuable parameter for weather forecasting and climate analysis. It has already been demonstrated that refractivity estimates can be derived using the phase measurements corresponding to radar signals backscattered from stationary targets over any terrain orography, with high temporal resolution. However, the random distribution of stationary targets affects the spatial resolution provided by the computed refractivity estimates. It is of interest to obtain reliable radar-based refractivity maps to assist final users with data interpretation and analysis, so the use of a suitable geostatistical interpolation technique to obtain refractivity maps is studied in this letter. Refractivity estimates obtained from C-band radar data gathered during 2019 by the United Kingdom’s national weather service (Met Office) are used to evaluate the accuracy of the method by comparing the results to ground-based weather stations and the European Center for Medium-Range Weather Forecasts (ECMWF’s) ERA5 reanalysis dataset.Agencia Estatal de Investigación | Ref. TED2021- 130056B-I0

Refractivity and refractivity gradient estimation from radar phase data: a least squares based approach

Tropospheric refractivity, related to temperature, pressure, and humidity, is an interesting parameter for weather analysis, prediction, and study of climate trends. It has been shown to be useful for the detection and forecast of convective events. It has already been demonstrated that tropospheric refractivity can be estimated from radar phase measurements. In this article, a nonlinear least squares based approach for the estimation of the tropospheric refractivity that simultaneously provides the estimates of the refractivity vertical gradient is presented. A significant improvement of the presented technique is that it allows estimation of the refractivity over any terrain orography, flat, or hilly. Furthermore, the method developed can be implemented on klystron as well as on magnetron-based radars. Results for both radar types, at S- and C-bands, located over flat and hilly terrain show the potential of the method.European Climate, Infrastructure and Environment Executive Agency | Ref. Life16 Env/ES/000559Xunta de Galicia | Ref. GRC2019/02

Analysis of the cross-polar radiation effects on differential reflectivity calibration

This paper discusses the effects of cross-polar radiation on the calibration methods usually employed for the calibration of the differential reflectivity. It is shown that cross-polar radiation has significant effects when simultaneous transmission and reception of horizontal and vertical polarizations are used to obtain polarimetric measurements. Additionally, it is shown that propagation through a transpolarizing medium considerably affects the results.Agencia Estatal de Investigación | Ref. TEC2017-85529-C3-3RXunta de Galicia | Ref. ED431C 2019/2

Effects of the antenna measurement uncertainties on the estimation of the differential reflectivity

The parameters of interest in polarimetric weather radars, defined in terms of the scattering coefficients of the targets, are affected by non-ideal radiation systems. The effect of cross-polar radiation has been studied and the requirements that radiation patterns must verify in order to maintain an affordable error in the polarimetric estimates have been established. Unfortunately, these requirements are very strict and difficult to achieve with phased array antennas. Recently, it has been shown that the effect caused by non-ideal antenna systems can be separated from the scattering parameters and, consequently, corrected. Hence, this technique could be used to make the transition to phased array polarimetric radar systems feasible. However, this correction method requires knowing the radiation patterns of the antenna, so they must be measured. The aim of this work is to study the effect of the uncertainties introduced by the antenna measurement procedure in the correction of the differential reflectivity factor.Agencia Estatal de Investigación | Ref. TEC2017-85529-C3-3RXunta de Galicia | Ref. ED431C 2019/2