129 Works

DIAS_Satellite_AMSR2_Geo dataset

Ko Hamamoto
■Satellite/Sensor The Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W satellite is a remote sensing instrument for measuring weak microwave emission from the surface and the atmosphere of the Earth. From about 700 km above the Earth, AMSR2 will provide us highly accurate measurements of the intensity of microwave emission and scattering. The antenna of AMSR2 rotates once per 1.5 seconds and obtains data over a 1450 km swath. This conical scan mechanism enables...

CEOP Satellite Datasets ( DMSP_F14 > 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...

CEOP Satellite Datasets ( ADEOS-II > GLI > 3AROP0 )

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 > L2 Land Surface Temperature/Emissivity 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,...

DIAS_Satellite_MODIS_LandCover dataset

Ko Hamamoto
There are many standard MODIS data products that scientists are using to study global change. These products are being used by scientists from a variety of disciplines, including oceanography, biology, and atmospheric science. ■Satellite/Sensor The moderate-resolution imaging spectroradiometer (MODIS) is a payload scientific instrument built by Santa Barbara Remote Sensing[1] that was launched into Earth orbit by NASA in 1999 on board the Terra (EOS AM) Satellite, and in 2002 on board the Aqua (EOS...

CEOP Satellite Datasets ( Terra/Aqua > MODIS > L1B Calibrated Radiance-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,...

DIAS_Satellite_MODIS_LAI_FPAR dataset

Ko Hamamoto
There are many standard MODIS data products that scientists are using to study global change. These products are being used by scientists from a variety of disciplines, including oceanography, biology, and atmospheric science. ■Satellite/Sensor The moderate-resolution imaging spectroradiometer (MODIS) is a payload scientific instrument built by Santa Barbara Remote Sensing[1] that was launched into Earth orbit by NASA in 1999 on board the Terra (EOS AM) Satellite, and in 2002 on board the Aqua (EOS...

The spational distribution of annual mean minimum 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 > 1BSWIR )

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_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...

CEOP Satellite Datasets ( Aqua > AMSR-E > 2WAVAP )

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 Aqua...

DIAS satellite data Aqua/MODIS chl-a

Kazuo Umezawa
MODIS (Moderate Resolution Imaging Spectroradiometer) is a key instrument aboard the Aqua (EOS PM) satellite. Aqua/MODIS is viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands. These products provides us global maps of the sea surface Chlorophyll_a Pigment Concentration.

CEOP Satellite Datasets ( TRMM > TMI > 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...

MAHASRI Pathfinder Gridded Precipitation Data of the Asian Region

Kooiti Masuda
This is a gridded data set of precipitation made from station precipitation included in the GAME Phase 2 Collected Data, by first summing up for each month at each station and then interpolating spatially. We have not taken account of topographical effects, nor systematic errors of raingauges. In our product, data are given on grid boxes over land only. Furthermore, those grid boxes which are far from any observing stations to be void of data....

CEOP Satellite Datasets ( Terra/Aqua > MODIS > L1B Calibrated Radiance-500m)

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 ( Terra/Aqua > MODIS > L3 Daily Joint Aerosol/Water Vapor/Cloud Product)

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 ( Terra/Aqua > MODIS > L2 Cloud Product)

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,...

GRENE-ei CAAM 0.05°×0.05° Grid Daily Precipitation in Thailand

Kooiti Masuda, Tomoshige Inoue, Jun Matsumoto & Somchai Baimoung
This is a 0.05°(lat) x 0.05°(lon) gridded data set of spatially-interpolated daily precipitation made from station precipitation in Thailand. Most of the data are obtained from the Thai Meteorological Department (TMD) by Prof. Jun Matsumoto (Tokyo Metropolitan University/JAMSTEC). We have not taken account of topographical effects, nor systematic errors of raingauges. In our product, data are given on grid boxes over land whose altitude is below 500 m only. Furthermore, those grid boxes which are...

CEOP Satellite Datasets ( Terra/Aqua > MODIS > L3 8-day Joint Aerosol/Water Vapor/Cloud Product)

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 ( Aqua > AMSR-E > 2PRECI )

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 Aqua...

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

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 ( ADEOS-II > AMSR > 3SNOWW )

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 ( ADEOS-II > GLI > 3CHLA0 )

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 > Surface Reflectance Quality Daily L2G 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,...

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...

Registration Year

  • 2017
    27
  • 2018
    102

Data Centers

  • Japan Link Center
    129