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首页> 外文会议>Conference on Applications with Weather Satellites Oct 24, 2002 Hangzhou, China >Use of moisture sensitive satellite radiances in the Canadian Meteorological Centre Unified 3D-var system
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Use of moisture sensitive satellite radiances in the Canadian Meteorological Centre Unified 3D-var system

机译：在加拿大气象中心Unified 3D-var系统中使用对湿度敏感的卫​​星辐射

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The Canadian Meteorological Centre's (CMC) three Dimensional Variational (3D-var) is an incremental analysis system that is currently used by both our global and regional models with very little modifications. During the last few years, it has undergone a series of upgrades from isobaric to a terrain-following coordinate, and most importantly the direct assimilation of satellite radiances. The quality control (QC) of observations was also upgraded to a variational quality control whereby the data rejection/acceptance decisions are taken consistently during the minimization problem. In terms of radiance data, the system currently uses so-called raw level-lb AMSU-A that are QC, and bias controlled by the data user and not the producer. The QC and thinning algorithms of the radiance data are more complex and system dependent, but their impact on analyses and forecasts are very large and now comparable to the radiosonde data in the SH. The resolution of NWP forecast/analysis systems is forever increasing and so is the volume of data from various instruments. The volume of satellite data has become quite a challenge even at the level of ingest and QC. One aspect of NWP systems which definitely can benefit from this additional data is the moisture analysis. In that context we have started to experiment with the ingest of water sensitive radiances from the HIRS and AMSU-B instruments onboard NOAA-15 and NOAA-16. As will be shown, the quality of both the temperature and moisture analyses are significantly improved when using these additional satellite data. Preliminary evaluations from 10-day forecasts indicate marked improvements in Quantitative Precipitation Forecast (QPF).
机译：加拿大气象中心（CMC）的三维变分（3D-var）是一种增量分析系统，目前我们的全球和区域模型都使用了这种方法，而进行的修改很少。在过去的几年中，它经历了从等压线到地形坐标的一系列升级，最重要的是直接吸收了卫星辐射。观测的质量控制（QC）也已升级为变化质量控制，从而在最小化问题期间一致地做出了数据拒绝/接受决策。就辐射数据而言，该系统当前使用的是所谓的原始Ib级AMSU-A QC，其偏差由数据用户而非生产者控制。辐射数据的质量控制和细化算法更加复杂并且取决于系统，但是它们对分析和预报的影响非常大，现在可以与上海的探空仪数据相媲美。 NWP预测/分析系统的分辨率正在不断提高，各种仪器的数据量也在不断增加。即使在摄取和质量控制方面，卫星数据量也已成为一个很大的挑战。绝对可以从这些额外数据中受益的NWP系统的一个方面是水分分析。在这种情况下，我们已经开始尝试从NOAA-15和NOAA-16上的HIRS和AMSU-B仪器摄取水敏感辐射。如将显示的那样，当使用这些附加卫星数据时，温度和湿度分析的质量都得到了显着提高。 10天预报的初步评估表明，定量降水预报（QPF）已有显着改善。

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