Quantifying Errors due to Frequency Changes and Target Location Uncertainty for Radar Refractivity Retrievals

نویسندگان

  • J. C. NICOL
  • A. J. ILLINGWORTH
  • T. DARLINGTON
  • M. KITCHEN
چکیده

Radar refractivity retrievals can capture near-surface humidity changes, but noisy phase changes of the ground clutter returns limit the accuracy for both klystronand magnetron-based systems. Observations with a C-band (5.6 cm)magnetronweather radar indicate that the correction for phase changes introduced by local oscillator frequency changes leads to refractivity errors no larger than 0.25 N units: equivalent to a relative humidity change of only 0.25% at 208C. Requested stable local oscillator (STALO) frequency changes were accurate to 0.002ppm based on laboratory measurements. More serious are the random phase change errors introduced when targets are not at the range-gate center and there are changes in the transmitter frequency (DfTx) or the refractivity (DN). Observations at C band with a 2-ms pulse show an additional 668 of phase change noise for a DfTx of 190 kHz (34 ppm); this allows the effect due to DN to be predicted. Even at S band with klystron transmitters, significant phase change noise should occur when a large DN develops relative to the reference period [e.g.,;558when DN5 60 for the Next GenerationWeather Radar (NEXRAD) radars]. At shorter wavelengths (e.g., C and X band) and with magnetron transmitters in particular, refractivity retrievals relative to an earlier reference period are even more difficult, and operational retrievals may be restricted to changes over shorter (e.g., hourly) periods of time. Target location errors can be reduced by using a shorter pulse or identified by a new technique making alternate measurements at two closely spaced frequencies, which could even be achieved with a dual–pulse repetition frequency (PRF) operation of a magnetron transmitter.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Effect of Phase-Correlated Returns and Spatial Smoothing on the Accuracy of Radar Refractivity Retrievals

Radar refractivity retrievals have the potential to accurately capture near-surface humidity fields from the phase change of ground clutter returns. In practice, phase changes are very noisy and the required smoothing will diminish large radial phase change gradients, leading to severe underestimates of large refractivity changes (DN). Tomitigate this, themean refractivity change over the field...

متن کامل

Two-Dimensional Variational Analysis of Near-Surface Moisture from Simulated Radar Refractivity-Related Phase Change Observations

Because they are most sensitive to atmospheric moisture content, radar refractivity observations can provide high-resolution information about the highly variable low-level moisture field. In this study, simulated radar refractivity-related phase-change data were created using a radar simulator from realistic highresolution model simulation data for a dryline case. These data were analyzed usin...

متن کامل

Quantifying the uncertainty in 35GHz+94GHz space-borne radar retrievals of rain

The main capability of the dual-frequency profiling radar proposed for deployment on the Aerosol/Cloud/Ecosystems (ACE) mission [1] is its ability to allow retrievals of vertical profiles of water content and mean hydrometeor size. At the center of this capability is the notion that measuring the radar reflectivity at two sufficiently different frequencies should allow the retrieval of two wate...

متن کامل

Sensitivity of Convective Initiation Prediction to Near-Surface Moisture When Assimilating Radar Refractivity: Impact Tests Using OSSEs

The Advanced Regional Prediction System (ARPS) three-dimensional variational (3DVAR) system is enhanced to include the analysis of radar-derived refractivity measurements. These refractivity data are most sensitive to atmospheric moisture content and provide high-resolution information on near-surface moisture that is important to convective initiation (CI) and precipitation forecasting. Observ...

متن کامل

Sensitivity of Convective Initiation Prediction to Near - Surface Moisture 8 when Assimilating Radar Refractivity : Impact Tests using OSSEs

40 The ARPS 3DVAR system is enhanced to include the analysis of radar-derived 41 refractivity measurements. These refractivity data are most sensitive to atmospheric moisture 42 content and provide high-resolution information on near-surface moisture that is important to 43 convective initiation (CI) and precipitation forecasting. Observing system simulation 44 experiments (OSSEs) are performed...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013