286 Works

CEOP Satellite Datasets ( ADEOS-II > GLI > 3VGI00 )

Kazuo Umezawa
Three scale-types of datasets observed by new generation of remote sensing satellites (including TERRA, AQUA, ADEOS-II) in addition to TRMM and DMSP series, which were providing enhancement of observing capabilities to quantify critical atmospheric, surface, hydrologic and oceanographic data during CEOP time periods are available. 250 km square snapshots of the highest resolution raw radiances (with geographic location, i.e. level 1) remote sensing data at the 35-51 in situ reference sites are archived. ■Mission ADEOS-Ⅱ...

CEOP Satellite Datasets ( DMSP_F15 > SSMI > 1BBRTE )

Kazuo Umezawa
Three scale-types of datasets observed by new generation of remote sensing satellites (including TERRA, AQUA, ADEOS-II) in addition to TRMM and DMSP series, which were providing enhancement of observing capabilities to quantify critical atmospheric, surface, hydrologic and oceanographic data during CEOP time periods are available. 250 km square snapshots of the highest resolution raw radiances (with geographic location, i.e. level 1) remote sensing data at the 35-51 in situ reference sites are archived. ■Mission DMSP...

NIES wind-tunnel dataset

Yukio Yamao Isao Kanda
Impact on human health by automobile air pollutants in roadside areas was investigated in the SORA (Study On Respiratory disease and Automobile exhaust) project (H17-22fy) administered by the Japan Ministry of Environment. In this project, a model was developed for estimating air-pollutant exposure to roadside residents. To provide validation data for this model, diffusion experiments under various building configurations from regular arrays to real cities were conducted in the Atmospheric Diffusion Wind Tunnel at National...

The GRENE-TEA Model Intercomparison Project (GTMIP) stage 1 forcing dataset

Sueyoshi Tetsuo, Saito Kazuyuki, Miyazaki Shin, Mori Junko, Ise Takeshi, Arakida Hazuki, Suzuki Rikie, Sato Atsushi, Iijima Yoshihiro, Yabuki Hironori, Ikawa Hiroki, Ohta Takeshi, Kotani Ayumi, Hajima Tomohiro, Sato Hisashi, Yamazaki Takeshi & Sugimoto Atsuko
Here, the authors describe the construction of a forcing dataset for Land Surface Models (including both physical and biogeochemical models; LSMs) with eight meteorological variables for the 35 year period from 1979 to 2013. The dataset is intended for use in a model intercomparison (MIP) study, called GTMIP, which is a part of the Japanese-funded Arctic Climate Change research project. In order to prepare a set of site-fitted forcing data for LSMs with realistic yet...

Spectral reflectance and associated photograph of boreal forest understory formation in interior Alaska

Kobayashi Hideki, Suzuki Rikie, Yang Wei, Ikawa Hiroki, Inoue Tomoharu, Nagano Hirohiko & Kim Yongwon
The Arctic and boreal regions have been experiencing a rapid warming in the 21st century. It is important to understand the dynamics of boreal forest at the continental scale under the climate and environmental changes. While the role of understory vegetation in boreal forest ecosystems on carbon and nutrient cycling cannot be ignored, they are still one of least understood components in boreal ecosystems. Spectroscopic measurements of vegetation are useful to identify species and their...

CEOP Satellite Datasets ( ADEOS-II > GLI > 3COPIE )

Kazuo Umezawa
Three scale-types of datasets observed by new generation of remote sensing satellites (including TERRA, AQUA, ADEOS-II) in addition to TRMM and DMSP series, which were providing enhancement of observing capabilities to quantify critical atmospheric, surface, hydrologic and oceanographic data during CEOP time periods are available. 250 km square snapshots of the highest resolution raw radiances (with geographic location, i.e. level 1) remote sensing data at the 35-51 in situ reference sites are archived. ■Mission ADEOS-Ⅱ...

The spational distribution of annual mean maximum temperature for 1986-2004 (sample version)

Hotaek Park
The spatial distribution of the data were first interpolated by near-distance interpolation method based on Baseline Meteorological Dataset of Siberia (BMDS, 77stations), and then averaged on the annual.

CEOP Satellite Datasets ( ADEOS-II > GLI > 3SS000 )

Kazuo Umezawa
Three scale-types of datasets observed by new generation of remote sensing satellites (including TERRA, AQUA, ADEOS-II) in addition to TRMM and DMSP series, which were providing enhancement of observing capabilities to quantify critical atmospheric, surface, hydrologic and oceanographic data during CEOP time periods are available. 250 km square snapshots of the highest resolution raw radiances (with geographic location, i.e. level 1) remote sensing data at the 35-51 in situ reference sites are archived. ■Mission ADEOS-Ⅱ...

AE Index

Nose Masahito, Sugiura Masahisa, Kamei Toyohisa & Iyemori Toshihiko
The AE index was proposed by Davis and Sugiura [1966] to measure a global electrojet activity in the auroral zone. It is derived from geomagnetic field variations in the H component measured at 12 stations along the auroral zone in the northern hemisphere.

Global Soil Wetness Project Phase 3 Atmospheric Boundary Conditions (Experiment 1)

Hyungjun Kim
retrospective atmospheric boundary conditions (9 variables: Rainfall, Snowfall, 2m Air Temperature, 2m Specific Humidity, Surface Pressure, Downward Shortwave Radiation, Downward Longwave Radiation, 10m Wind Speed, and Cloud Cover Fraction) for 1901-2010 in 3-hourly resolution are generated. 20th Century Reanalysis (20CR) [compo2011] [Compo el al., 2011] on global 2° resolution is dynamically downscaled into T248 (~0.5°) grid using a spectral nudging technique [Yoshimura and Kanamitsu 2008] in a Global Spectral Model (GSM) [Figure 2]. This successfully...

CEOP Satellite Datasets ( ADEOS-II > AMSR > 2SSWIN )

Kazuo Umezawa
Three scale-types of datasets observed by new generation of remote sensing satellites (including TERRA, AQUA, ADEOS-II) in addition to TRMM and DMSP series, which were providing enhancement of observing capabilities to quantify critical atmospheric, surface, hydrologic and oceanographic data during CEOP time periods are available. 250 km square snapshots of the highest resolution raw radiances (with geographic location, i.e. level 1) remote sensing data at the 35-51 in situ reference sites are archived. ■Mission ADEOS-Ⅱ...

CEOP Satellite Datasets ( Terra/Aqua > MODIS > L4 Leaf Area Index/FPAR Daily 1km)

Kazuo Umezawa
The CEOP satellite datasets are geo-coded data resampled to regular latitude longitude grid on three type scales: reference site scale, monsoon scale, and global scale. It is easy to compare satellite data with in-situ measurement and or model output. Also, the satellite datasets include radiance data and geo-physical parameter such as soil moisture, vegetation index, water vapor, precipitation, sea surface temperature and so on, which are retrieved from data of MODIS, AMSR-E, SSM/I, PR, TMI,...

CEOP Satellite Datasets ( TRMM > PR > 3PRECI )

Kazuo Umezawa
Three scale-types of datasets observed by new generation of remote sensing satellites (including TERRA, AQUA, ADEOS-II) in addition to TRMM and DMSP series, which were providing enhancement of observing capabilities to quantify critical atmospheric, surface, hydrologic and oceanographic data during CEOP time periods are available. 250 km square snapshots of the highest resolution raw radiances (with geographic location, i.e. level 1) remote sensing data at the 35-51 in situ reference sites are archived. ■Mission TRMM...

CEOP Satellite Datasets ( Terra/Aqua > MODIS > L2 Joint Atmosphere Products)

Kazuo Umezawa
The CEOP satellite datasets are geo-coded data resampled to regular latitude longitude grid on three type scales: reference site scale, monsoon scale, and global scale. It is easy to compare satellite data with in-situ measurement and or model output. Also, the satellite datasets include radiance data and geo-physical parameter such as soil moisture, vegetation index, water vapor, precipitation, sea surface temperature and so on, which are retrieved from data of MODIS, AMSR-E, SSM/I, PR, TMI,...

Improved Limb Atmospheric Spectrometer (ILAS), Version 6.1

Sugita Takafumi, Nakajima Hideaki & Yokota Tatsuya
The Improved Limb Atmospheric Spectrometer (ILAS) is a satellite-borne sensor that measures ozone and its related chemical species in the high-latitude stratosphere on the basis of the solar occultation technique. There are approximately 14 measurements a day for each of the hemispheres, at sunrise seen from the satellite in the Northern Hemisphere and at sunset seen from the satellite in the Southern Hemisphere. The retrieval algorithm is based on an onion-peeling method that uses a...

CEOP Satellite Datasets ( DMSP_F17> SSMIS > 1BBRTE )

Kazuo Umezawa
Three scale-types of datasets observed by new generation of remote sensing satellites (including TERRA, AQUA, ADEOS-II) in addition to TRMM and DMSP series, which were providing enhancement of observing capabilities to quantify critical atmospheric, surface, hydrologic and oceanographic data during CEOP time periods are available. 250 km square snapshots of the highest resolution raw radiances (with geographic location, i.e. level 1) remote sensing data at the 35-51 in situ reference sites are archived. * Mission...

NIED Hi-net

National Research Institute For Earth Science And Disaster Resilience

Improved Limb Atmospheric Spectrometer-II (ILAS-II), Version 3.0

Sugita Takafumi, Nakajima Hideaki & Yokota Tatsuya
The Improved Limb Atmospheric Spectrometer (ILAS)-II is a satellite-borne sensor that measures ozone and its related chemical species in the high-latitude stratosphere on the basis of the solar occultation technique. There are approximately 14 measurements a day for each of the hemispheres, at sunrise seen from the satellite in the Northern Hemisphere and at sunset seen from the satellite in the Southern Hemisphere. The retrieval algorithm is based on an onion-peeling method that uses a...

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