Modeling primary production using a 1 km daily meteorological data set
نویسندگان
چکیده
منابع مشابه
Spatial interpolation of daily meteorological data
E.G. Beek, 1991. Spatial interpolation of daily meteorological data; theoretical evaluation of available techniques. Wageningen (The Netherlands), DLO The Winand Staring Centre. Report 53.1.44 pp.; 13 Figs; 1 Table; 20 Refs. In agromcteorological crop yield models meteorological values at not observed points have to be obtained by means of interpolation techniques. In this study, interpolation ...
متن کاملsnow runoff modeling using meteorological, geological and remotely sensed data
geographic information and analysis provide a wide range of data and techniques to monitor and manage natural resources. as an important case, in arid and semi-arid areas, water management is critical for both local governance and citizens. as a result, the estimation of water potential brought by snowmelt runoff and rainfalls seems to be very useful and important for these areas. hydrological ...
متن کاملClassification of meteorological volumetric radar data using rough set methods
This paper reports on a rough set approach to classifying meteorological volumetric radar data used to detect storm events responsible for summer severe weather. The classification of storm cells is a difficult problem due to the complex evolution of storm cells, the high dimensionality of the weather data, and the imprecision and incompleteness of the data. A rough set approach is used to clas...
متن کاملInvestigation of the daily minimum visibility meteorological conditions using RVR data at IKA airport during 2013-2014
Investigation of the daily minimum visibility meteorological conditions using RVR data at IKA airport during 2013-2014 Hatami, J. 1, Sabetghadam, S. 2*, Ahmadi-Givi, F. 3 1M.Sc. Student, Institute of Geophysics, University of Tehran 2Assistant Professor, Institute of Geophysics, University of Tehran 3Associate Professor, Institute of Geophysics, University of Tehran Abstract Atmospher...
متن کاملmodeling loss data by phase-type distribution
بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...
ذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Climate Research
سال: 2012
ISSN: 0936-577X,1616-1572
DOI: 10.3354/cr01121