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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >MODIS-derived global land products of shortwave radiation and diffuse and total photosynthetically active radiation at 5km resolution from 2000
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MODIS-derived global land products of shortwave radiation and diffuse and total photosynthetically active radiation at 5km resolution from 2000

机译:从2000年的5km分辨率下,Modis-衍生的全球土地产品的短波辐射和漫射和总光合作用辐射

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AbstractIncident shortwave radiation (SW), photosynthetically active radiation (PAR), and diffuse PAR (PARdif) at the land surface drive a multitude of processes related to biosphere-atmosphere interactions and play a critical role in the Earth climate system. Previous global solar radiation products were spatially coarse (>50-km resolution) or temporally short (a few years), which hindered scaling-up ground based observations of the land surface processes into regional, continental, and global scales across multiple time scales. Here, we report Breathing Earth System Simulator (BESS) SW, PAR, and PARdifproducts over the global land surface at a 5km resolution with 4day intervals between 2000 and 2016. We combined an atmospheric radiative transfer model with an artificial neural network (ANN) to compute SW, PAR, and PARdif. A series of MODerate Resolution Imaging Spectroradiometer (MODIS) atmosphere and land products were used as inputs to run the ANN. We test the performance of the products using data from 158 (SW), 77 (PAR), and 22 (PARdif) stations collected in the Baseline Surface Radiation Network (BSRN) and flux tower networks, which covered a range of climatic zones from polar to tropical zones. BESS had strong linear relationships with in-situ SW data (R2=0.95, relative bias=?2.3%), PAR (R2=0.94, relative bias=1.7%), and PARdif(R2=0.84, relative bias=0.2%). BESS captured the interannual variability of SW at both the site (a majority of long-term BSR
机译:<![cdata [ 抽象 事件短波辐射(SW),光合作用辐射(PAR)和Diffuse Par(Par DIF )在土地表面驱动多种与生物圈 - 大气相互作用相关的过程,并在地球气候系统中发挥关键作用。以前的全球太阳能辐射产品在空间粗糙(> 50公里分辨率)或时间短(几年),其阻碍了在多个时间尺度的区域,大陆和全球范围内基于划分的地面过程的观察。在这里,我们报告呼吸地球系统模拟器(BESS)SW,PAR和PAR DIF 产品在全球陆地表面上以5公里的分辨率为2000年间隔4天间隔。我们将大气辐射转移模型与人工神经网络(ANN)组合来计算SW,PAR和PAR DIF 。使用一系列适度的分辨率成像光谱仪(MODIS)气氛和土地产品作为运行ANN的输入。我们使用来自158(SW),77(PAR)和22(PAR DIF )站的数据测试产品的性能(PAR )站,在基线表面辐射网络中(BSRN)和助焊塔网络,覆盖了一系列来自极地到热带地区的气候区。 BESS具有与原位SW数据的强线性关系(R 2 = 0.95,相对偏差=?2.3%),PAR(R 2> 2 = 0.94,相对偏差= 1.7%),并PAR DIF (R 2 = 0.84,相对偏差= 0.2%)。 BESS在网站(大多数长期BSR的大多数长期以来)捕获了SW的续集变化

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