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Observation bias correction with an ensemble Kalman filter 总被引：1，自引：0，他引：1
ELANA J. FERTIG SEUNG-JONG BAEK BRIAN R. HUNT EDWARD OTT ISTVAN SZUNYOGH JOSÉ A. ARAVÉQUIA EUGENIA KALNAY HONG LI JUNJIE LIU 《地球，A辑:动力气象学与海洋学》2009,61(2):210-226
This paper considers the use of an ensemble Kalman filter to correct satellite radiance observations for state dependent biases. Our approach is to use state-space augmentation to estimate satellite biases as part of the ensemble data assimilation procedure. We illustrate our approach by applying it to a particular ensemble scheme—the local ensemble transform Kalman filter (LETKF)—to assimilate simulated biased atmospheric infrared sounder brightness temperature observations from 15 channels on the simplified parameterizations, primitive-equation dynamics (SPEEDY) model. The scheme we present successfully reduces both the observation bias and analysis error in perfect-model simulations. 相似文献
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Abstract The regional hydroclimatological effect of global climate change has been estimated and compared using a semi-empirical downscaling method with two versions (T21 and T42) of the general circulation model (GCM) developed at the Max Planck Institute for Meteorology, Germany. The comparisons were performed with daily mean temperature and daily precipitation amounts for the continental climate of the state of Nebraska, USA. Both the T21 and the T42 versions resulted in an increase of daily mean temperature under a 2 x C02 climatess. The magnitude of warming was substantially greater for T21 than for T42, except for February and June and at some stations in July where the T42 model suggested greater warming. Both GCMs resulted in a slight decrease in precipitation frequency and an increase in the amount of precipitation on wet days. Here, the T42 model again led to smaller changes. Different locations within Nebraska exhibited somewhat different temperature and precipitation responses with both GCM versions. 相似文献
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Dr. ISTVAN BOGAgraveRDI 《水文科学杂志》2013,58(3):14-24
Abstract Highwater stages of frequently very long duration which commonly develop on plain-land watercourses having flat slopes, constitute a fatigue loading on the flood levees built along such streams. In order to describe by a single parameter the magnitude of this fatigue load, the concept of flood exposure has been introduced and defined as the area under the flood hydrograph exceeding a certain stage (the toe of the levee). Consequently both stage and duration of highwater are taken into consideration. Positive relationships have been found to exist between the magnitude of flood exposure and adverse phenomena associated with highwaters (groundwater emergence, underseepage, leakage, boil formation, saturation slumping and wave action). The magnitude of the labour force, fleet of mechanical equipment and materials used in flood fighting, consequently the costs thereof depend to a significant extent on the magnitude of flood exposure, which can thus be used conveniently for economic analysis as well. Mathematical statistical analysis has shown the logarithmic normal distribution to fit best to the empirical distribution of flood exposure. The full set of data was found to be homogeneous in the gaging sections examined on the Danube and Tisza Rivers. Sets of data have been grouped according to the dates of major interference into the life of the watercourse. It was found further that in the sections considered the duration of highwaters could also be regarded as a homogeneous random variable. 相似文献
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Abstract A methodology has been developed and applied to an eastern Nebraska, USA, case study to estimate the space-time distribution of daily precipitation under climate change. The approach is based on the analysis both of the type and of the Markov properties of atmospheric circulation patterns (CPs), and a stochastic linkage between daily (here 500 hPa) CP types and daily precipitation events. Historical data and General Circulation Model (GCM) output of daily CPs corresponding to 1 × CO2 and 2 × CO2 are considered. Time series of both local and regional precipitation corresponding to each of those cases were simulated and their statistical properties were compared. Under the dry continental climate of eastern Nebraska, a highly variable spatial response to climate change was obtained. Most of the local and the regional average precipitation values reflect, under 2 × CO2, a somewhat wetter and a more variable precipitation regime in eastern Nebraska. The sensitivity of the results to the GCM utilized should be considered. 相似文献
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Assessing a local ensemble Kalman filter: perfect model experiments with the National Centers for Environmental Prediction global model 总被引：1，自引：0，他引：1
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