环境科学
气象学
加权
早晨
产品(数学)
遥感
地理
数学
物理
天文
几何学
声学
作者
Olafur Jonasson,Irina Gladkova,Alexander Ignatov
摘要
Currently, NOAA provides two gridded super collated sea surface temperature (SST) products from low Earth orbit (LEO) satellites (L3S-LEO) using ACSPO system, one from PM (afternoon) and the other from AM (mid-morning) platforms. PM/AM products are split into day/night files, sampling the diurnal cycle at four points (approximately at 1:30am/pm and 1:30am/pm). To meet users' needs for larger coverage, we are developing a combined SST product which collates all four SSTs into one daily product. We present the ACSPO L3S-daily collation algorithm, where L3S-LEO SSTs are debiased to night-time viewing conditions and combined using an iterative weighting algorithm.
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