This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 1–9 of 9 papers
Ratih Kemala Dewi, Qiliang Huang, Rahmatullah Hashimi +4
Developed a soil health assessment framework for Japanese Andosols using a 19-year organic soybean field experiment. No-tillage with cover crops and biochar increased soil organic carbon and soil health scores, which strongly correlated wit…
Asahi Ueda, Ryo Nukina, Junichi Imanishi
This study uses the WRF regional climate model to simulate the potential cooling and carbon reduction effects of various urban greening strategies in Kyoto City. It finds that increased vegetation can significantly lower surface temperature…
気象庁における温室効果ガス観測
(著者不明)
This paper outlines greenhouse gas observations conducted by the Japan Meteorological Agency, presenting long-term monitoring results and methods for atmospheric concentrations.
F08(5) 温室効果ガス観測技術衛星(GOSAT)の開発(我が国の衛星開発の最前線)
(著者不明)
This paper presents the frontier of development of Japan's greenhouse gases observing satellite GOSAT, which observes CO2 and methane concentrations from space, contributing to climate change research.
GOSAT-GW衛星による温室効果ガス及び大気汚染物質の排出観測
(著者不明)
GOSAT-GW is a new Japanese satellite that observes greenhouse gases (CO2, methane, etc.) and air pollutants with high precision. It helps identify emission sources and track changes over time, supporting Paris Agreement progress assessment …
温室効果ガス観測技術衛星(GOSAT)と地球観測衛星計画(<特集>日本の宇宙観測技術の最新情報)
(著者不明)
This special feature covers the latest information on Japanese space observation technology, focusing on the Greenhouse Gas Observing Satellite (GOSAT) and Earth observation satellite plans. It discusses achievements in greenhouse gas monit…
土壌生態系からの温室効果ガス直接・間接排出の実態把握とそのモデル化(日本土壌肥料学会奨励賞受賞)
(著者不明)
This study investigates and models direct and indirect greenhouse gas emissions from soil ecosystems. Awarded the Japan Soil Science and Plant Nutrition Society Encouragement Award, it focuses on quantifying and predicting CH4 and N2O emiss…
奨-4 多様な研究手法を用いた陸域生態系における温室効果ガス動態の解明（奨励賞 2024年度福岡大会）
(著者不明)
This study employs diverse research methods (observations, modeling, experiments) to elucidate greenhouse gas (CO2, CH4, N2O) dynamics in terrestrial ecosystems. It integrates flux measurements and process models in forests and agricultural…
衛星による温室効果ガスの観測とその利用
(著者不明)
This paper reviews satellite-based greenhouse gas observation technology and its applications. Observation data can be used for emission verification and climate change mitigation, contributing to green transformation.
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