| کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
|---|---|---|---|---|
| 8866545 | 1621189 | 2018 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The accuracy of snow melt-off day derived from optical and microwave radiometer data - A study for Europe
ترجمه فارسی عنوان
دقت روز مبادله برف از داده های رادیومور نوری و مایکروویو حاصل می شود - مطالعه ای برای اروپا
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
کامپیوتر در علوم زمین
چکیده انگلیسی
Our results show that the melt-off day derived from optical springtime FSC time series provides the strongest correlation with the snow melt-off day with respect to the in situ data. Overall the deviation of CryoLand FSC data derived melt-off day to that indicated by in situ observations is quite small, with positive bias of 0.9â¯days, and RMSE of 13.1â¯days. For 85% of the analyzed cases the differences are between ±10â¯days. Across Europe the MWR-based detection of melt-off day is less accurate; the investigated method performs the best for areas with sustained seasonal snow cover. Based on the time series for MWR-based melt-off day (1980-2016) and FT-ESDR (1980-2014), separately for boreal forests and tundra, we also found a clear trend towards earlier snow clearance: a decrease of melt-off day by as much as ~5â¯days per decade in boreal forest region was observed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing of Environment - Volume 211, 15 June 2018, Pages 1-12
Journal: Remote Sensing of Environment - Volume 211, 15 June 2018, Pages 1-12
نویسندگان
Sari Metsämäki, Kristin Böttcher, Jouni Pulliainen, Kari Luojus, Juval Cohen, Matias Takala, Olli-Pekka Mattila, Gabriele Schwaizer, Chris Derksen, Sampsa Koponen,
