Atmospheric and hydrospheric sciences

Assessing and projecting surface air temperature conditions required to sustain permafrost in Japan

T. Yokohata, G. Iwahana, K. Saito, N. N. Ishizaki, T. Matsushita, T. Sueyoshi

Abstracts

SpringerOpen

Climatic zonation of Egypt based on high-resolution dataset using image clustering technique

Mohammed Magdy Hamed, Mohamed Salem Nashwan, Shamsuddin Shahid

Abstracts

SpringerOpen

The response of the hydrological cycle to temperature changes in recent and distant climatic history

Shailendra Pratap, Yannis Markonis

Abstracts

SpringerOpen

Impact of stratospheric ozone on the subseasonal prediction in the southern hemisphere spring

Jiyoung Oh, Seok-Woo Son, Jung Choi, Eun-Pa Lim, Chaim Garfinkel, Harry Hendon, Yoonjae Kim, Hyun-Suk Kang

Abstracts

SpringerOpen

Atmospheric resuspension of insoluble radioactive cesium-bearing particles found in the difficult-to-return area in Fukushima

Tang P, Kita K, Igarashi Y, Satou Y, Hatanaka K, Adachi K, Kinase T, Ninomiya K, Shinohara A

Abstracts

SpringerOpen

Surface and Aloft NO2 pollution over the greater Tokyo area observed by ground-based and MAX-DOAS measurements bridged by kilometer-scale regional air quality modeling

Itahashi S, Irie H

Abstracts

SpringerOpen

Capability of airline jets as an observation platform for noctilucent clouds at middle latitudes

Hidehiko Suzuki, Ayako Matsumoto, Peter Dalin, Yuriko Nakamura, Satoshi Ishii, Kazuyo Sakanoi, Kaori Sakaguchi, Taku Takada, Takuo Tsuda, Yuta Hozumi

Abstracts

SpringerOpen

Rapid, accurate computation of narrow-band sky radiance in the 940 nm gas absorption region using the correlated k-distribution method for sun-photometer observations

Momoi M, Irie H, Sekiguchi M, Nakajima T, Takenaka H, Miura K, Aoki K

Abstracts

SpringerOpen

Classification of Imbalanced Cloud Image Data Using Deep Neural Networks-Performance Improvement Through a Data Science Competition-

Matsuoka D

Abstracts

SpringerOpen

River discharge prediction for ungauged mountainous river basins during heavy rain events based on seismic noise data

P.C. S, Sawazaki K

Abstracts

SpringerOpen