Results 121 to 130 of about 396 (159)

Spatial transcriptomics reveals immune-stromal crosstalk within the synovium of patients with juvenile idiopathic arthritis. [PDF]

JCI Insight
Inamo J, Fierkens R, Clay MR, Jonsson AH, Lin C, Hayes K, Rogers N, Leach H, Yomogida K.   +8 more
europepmc   +1 more source

MedLesSynth-LD: Lesion synthesis using physics-based noise models for robust lesion segmentation in low-data medical imaging regimes. [PDF]

Pattern Recognit Lett
Narayanan R, Sundaresan V.
europepmc   +1 more source

Gene expression dynamics of human and mouse craniofacial development at the single-cell level. [PDF]

Nat Commun
Khouri-Farah N, Manchel A, Wentworth Winchester E, Schilder BM, Robinson K, Curtis SW, Skene NG, Leslie-Clarkson EJ, Cotney J.   +8 more
europepmc   +1 more source

Exploration and Evaluation of GSMaP Utilization for Global Terrestrial Hydrological Simulation

Exploration and Evaluation of GSMaP Utilization for Global Terrestrial Hydrological Simulation
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Development of Rainfall Normalization Module for GSMaP Microwave Imagers and Sounders

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
Since sensor characteristics and retrieval algorithms are not identical, there are differences of rainfall estimates among passive microwave imagers/sounders (MWIs/MWSs) carried by the Global Precipitation Measurement (GPM) Core Observatory and constellation satellites.
Munehisa K. Yamamoto, Takuji Kubota
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High Resolution GSMaP with Himawari 8

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Global Satellite Mapping of Precipitation (GSMaP) is a system to produce global surface precipitation field with 0.1 degree and 1 hour resolution from geostationary infrared imager and microwave radiometer in low earth orbit (Ushio et al. 2019, Mega et al. 2018).
Tomoo Ushio, Tomoaki Mega
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Recent Progress on the GSMaP Multi -satellite Algorithm

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
The importance of accurately measuring global precipitation is increasingly being recognized in terms of improving the forecast of extreme rainfall events that cause disasters, monitoring the Earth system, and understanding the Earth's water and energy cycle.
Tomoaki Mega, Tomoo Ushio
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Recent improvements in the global satellite mapping of precipitation (GSMaP)

2014 IEEE Geoscience and Remote Sensing Symposium, 2014
The Global Satellite Mapping of Precipitation (GSMaP) product, which was developed toward the Global Precipitation Measurement (GPM), is operating and distributed in near-real-time basis at the Japan Aerospace Exploration Agency (JAXA). In this paper, we will introduce development status of the latest GSMaP algorithm, which will be distributed as one ...
Misako Kachi, Takuji Kubota, Kazumasa Aonashi, Tomoo Ushio, Shoichi Shige, Munehisa Yamamoto, Tomoaki Mega, Riko Oki   +7 more
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Improvement of the GSMaP Precipitation Retrieval Algorithm for Microwave Sounders Over Coast

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
We have improved a rainfall retrieval algorithm over coast for the Advanced Microwave Sounding Unit (AMSU) in order to upgrade to the Global Satellite Mapping of Precipitation (GSMaP) product version 8. As for the algorithm of product version 7, the zonal-mean monthly precipitation tends to overestimate low latitude coastal areas and to be a missing ...
Tomoko Tashima, Takuji Kubota, Tomoaki Mega, Shoichi Shige   +3 more
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