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人類の様々な活動によって発生するCO2の排出は、地理的に偏った分布をしているが、CO2の寿命は長く、大気の循環によってかき混ぜられるため、世界各地のCO2濃度はほぼ一様に増加している。しかし、室温効果の表れ方は一様にならないと予測されている。このことを示す例として、気象研究所の気候モデルで得られた温暖化パターンを【図3】に示す。世界各地の気候モデルの温暖化予測結果にはばらつきが出るが、【図3】と同様の特徴的分布は、どの気候モデルにも共通にみられるもので、IPCCの過去三つの評価報告書でも、定量的な違いはあるが、定性的には共通の結果であるとして紹介されている。更に計算結果を解析することによってその特徴的分布をもたらすメカニズムも解明されており、温暖化の検証や原因特定の研究の基礎となっている。

しかし、現在の気候モデルでは十分にモデル化されていないもの(雲・エアロゾル、陸面植生、海氷、炭素循環等)、あるいは取り入れられていない気候プロセス(大陸氷床の力学等)があり、これらが実際の温暖化と気候モデルによる温暖化予測の違いをもたらす可能性は十分にあり得るので、気候モデルの高度化と観測による検証は今後とも継続する必要がある。

Emissions of CO2 resulting from various human activity has a geographically biased distribution but, because CO2 enjoys a long lifespan and is stirred by atmospheric circulation, CO2 concentration is increasing at roughly the same rate all over the world. However, the manner in which room temperature effects are manifested is predicted to not be uniform. As an example of this, warming patterns gained from the Meteorological Research Institute’s climate models are shown in Diagram 3.  These show the dispersion for the effects of the warming predicted by the climate models for every part of the world but characteristic distribution identical to Diagram 3 is commonly seen in any of the climate models; while the three previous evaluation models of IPCC had quantitative differences, even these are introduced as qualitatively having the same outcomes. By further analyzing the calculation results, mechanisms that produce this characteristic distribution are clarified, becoming the foundation for global warming verification and cause-specific research.

However, with current climate models there are not enough modeled phenomenon (clouds/aerosols, land surface vegetation, sea ice, carbon cycle, etc.) or accepted climate processes (continental ice sheet dynamics, etc.). There is sufficient likelihood that these will produce differences in warming predictions due to actual global warming and climate models, so moving forward there will be a continued need for verification by means of enhanced climate models and observation.

Emissions of CO2 resulting from variousa variety of human activity has a geographically biased distribution but, because CO2 enjoyshas a long lifespan and is stirred by atmospheric circulation, CO2 concentration is increasing at roughly the same rate all over the world. However, the manner in which room temperature effects are manifested is predicted to not be uniform. As anAn example of this, can be seen in Diagram 3, where warming patterns gained from the Meteorological Research Institute’s climate models are shown in Diagram 3.  These show the dispersion for the effects of the warming predicted by the climate models for every part of the world but characteristic distribution identical to Diagram 3 is commonly seen in any of the climate models;, so while the three previous evaluation models of IPCC had quantitative differences, even these are introduced as qualitatively having the samecommon outcomes. By further analyzing the calculation results, mechanisms that produce this characteristic distribution are clarified, becoming the foundation for global warming verification and cause-specific research.

However, with current climate models there are not enoughis insufficient modeled phenomenon (clouds/aerosols, land surface vegetation, sea ice, carbon cycle, etc.) or accepted climate processes (continental ice sheet dynamics, etc.). There is sufficient likelihood that these will produce differences in warming predictions due to actual global warming and climate models, so moving forward there will be a continued need for verification by means of enhanced climate models and observation. 

Although Emissions of CO2 emissions due to various resulting from a variety of human activitiesy has ahave  geographicallydistinct geographically biased distributions, but, becauseaA long lifespan, as well as constant atmospheric circulation ensure that CO2 concentrations increase more or less uniformly the world over.; CO2 has a long lifespan and is stirred by atmospheric circulation, CO2 concentration is increasing at roughly the same rate all over the world. However, tThe manifestations of manner in which room temperature effects are manifestedare, however, not always is predicted to not be uniform. This can be seen in Diagram 3, where which illustrates warming patterns gained obtained from the Meteorological Research Institute’s climate models are shown.  These show the dispersion for of the effects of the warmingwarming effects as predicted by the climate models for every part of the world. but Such characteristic distributions identical to Diagram 3 is are commonly seen in many climate models. Therefore,, so while the three previous evaluation models of IPCC had quantitative differences, these too likely have are introduced as qualitatively having common outcomes. By further analyzing the calculation results, mechanismsMechanisms that produce this characteristic distribution are clarified by analyzing the calculation results, and therefore formare then used as the basis the foundation for global warming verification and cause-specific research.

However, with current climate models there areThere are insufficient modeled phenomena (clouds/aerosols, land surface vegetation, sea ice, carbon cycle, etc.) or accepted climate processes (continental ice sheet dynamics, etc.). with current climate models. There is sufficient likelihoodIt is very likely that these will producethere will be differences in warming predictions due to actual global warming and climate models; therefore, , so moving forward there will be a continued need for verification by means of enhanced improved climate models and observation is required.

Emissions of Although CO2 emissions due to various resulting from a variety of human activitiesy has ahave  geographicallydistinct geographically biased distributions, but, becauseAthe long lifespan as well as constant atmospheric circulation of CO2 mean that CO2 concentrations increase more or less uniformly the world over.; CO2 has a long lifespan and is stirred by atmospheric circulation, CO2 concentration is increasing at roughly the same rate all over the world. However, tThe manner in which manifestations of room temperature effects are manifestedare, however, not always is predicted to not be uniform. This can be seen in Diagram 3, where in which sthe warming patterns gained obtained from the Meteorological Research Institute’s climate models are shown.  These show the dispersion for of the effects of the warmingwarming effects as predicted by the climate models for every part of the world. but Such characteristic distributions identical to Diagram 3 is are commonly seen in many climate models. Therefore,, so while the three previous evaluation models of IPCC had quantitative differences, these too likely have are introduced as qualitatively having common similar outcomes. By further analyzing the calculation results, mechanismsMechanisms that produce this characteristic distribution are clarified by analyzing the calculation results, and therefore formare then used as the basis the foundation for global warming verification and cause-specific research.

However, with current climate models there areThere are insufficient modeled phenomena (clouds/aerosols, land surface vegetation, sea ice, carbon cycle, etc.) or accepted climate processes (continental ice sheet dynamics, etc.). with the current climate models. There is sufficient likelihoodIt is very likely that these will producethere will be differences in warming predictions due to actual global warming and climate models; therefore, , so moving forward there will be a continued need for verification by means of enhanced improved climate models and observation is required.

人類の様々な活動によって発生するCO2の排出は、地理的に偏った分布をしているが、CO2の寿命は長く、大気の循環によってかき混ぜられるため、世界各地のCO2濃度はほぼ一様に増加している。しかし、室温効果の表れ方は一様にならないと予測されている。このことを示す例として、気象研究所の気候モデルで得られた温暖化パターンを【図3】に示す。世界各地の気候モデルの温暖化予測結果にはばらつきが出るが、【図3】と同様の特徴的分布は、どの気候モデルにも共通にみられるもので、IPCCの過去三つの評価報告書でも、定量的な違いはあるが、定性的には共通の結果であるとして紹介されている。更に計算結果を解析することによってその特徴的分布をもたらすメカニズムも解明されており、温暖化の検証や原因特定の研究の基礎となっている。

しかし、現在の気候モデルでは十分にモデル化されていないもの(雲・エアロゾル、陸面植生、海氷、炭素循環等)、あるいは取り入れられていない気候プロセス(大陸氷床の力学等)があり、これらが実際の温暖化と気候モデルによる温暖化予測の違いをもたらす可能性は十分にあり得るので、気候モデルの高度化と観測による検証は今後とも継続する必要がある。

Emissions of CO2 resulting from various human activity has a geographically biased distribution but, because CO2 enjoys a long lifespan and is stirred by atmospheric circulation, CO2 concentration is increasing at roughly the same rate all over the world. However, the manner in which room temperature effects are manifested is predicted to not be uniform. As an example of this, warming patterns gained from the Meteorological Research Institute’s climate models are shown in Diagram 3.  These show the dispersion for the effects of the warming predicted by the climate models for every part of the world but characteristic distribution identical to Diagram 3 is commonly seen in any of the climate models; while the three previous evaluation models of IPCC had quantitative differences, even these are introduced as qualitatively having the same outcomes. By further analyzing the calculation results, mechanisms that produce this characteristic distribution are clarified, becoming the foundation for global warming verification and cause-specific research.

However, with current climate models there are not enough modeled phenomenon (clouds/aerosols, land surface vegetation, sea ice, carbon cycle, etc.) or accepted climate processes (continental ice sheet dynamics, etc.). There is sufficient likelihood that these will produce differences in warming predictions due to actual global warming and climate models, so moving forward there will be a continued need for verification by means of enhanced climate models and observation.

Emissions of CO2 resulting from variousa variety of human activity has a geographically biased distribution but, because CO2 enjoyshas a long lifespan and is stirred by atmospheric circulation, CO2 concentration is increasing at roughly the same rate all over the world. However, the manner in which room temperature effects are manifested is predicted to not be uniform. As anAn example of this, can be seen in Diagram 3, where warming patterns gained from the Meteorological Research Institute’s climate models are shown in Diagram 3.  These show the dispersion for the effects of the warming predicted by the climate models for every part of the world but characteristic distribution identical to Diagram 3 is commonly seen in any of the climate models;, so while the three previous evaluation models of IPCC had quantitative differences, even these are introduced as qualitatively having the samecommon outcomes. By further analyzing the calculation results, mechanisms that produce this characteristic distribution are clarified, becoming the foundation for global warming verification and cause-specific research.

However, with current climate models there are not enoughis insufficient modeled phenomenon (clouds/aerosols, land surface vegetation, sea ice, carbon cycle, etc.) or accepted climate processes (continental ice sheet dynamics, etc.). There is sufficient likelihood that these will produce differences in warming predictions due to actual global warming and climate models, so moving forward there will be a continued need for verification by means of enhanced climate models and observation. 

Emissions of CO2 resultingemissions from a variety ofvarious human activity has aactivities have distinct geographically biased distribution but, because CO2 has adistributions. The long lifespan and is stirred byof CO2, as well as atmospheric circulation, CO2 concentration is  ensure that concentrations are increasing at roughly the same rate all over the world. However, the manner in which globally; although, manifestations of room temperature effects are manifested is predicted to not be uniform. An example of this can be seen in Diagram 3, where, which illustrates warming patterns gainedobtained from the Meteorological Research Institute’s climate models are shown.  These show the dispersion for the effects of the warming effects as predicted by the climate models for every part of the world but characteristic distribution. Characteristic distributions identical to Diagram 3 isare commonly seen in anymany of the climate models, so while the three previous evaluation models of IPCC had quantitative differences, even these are introduced astoo likely have qualitatively having common outcomes. By further analyzing the calculation results, mechanismsMechanisms that produce this characteristic distribution are clarified by analyzing the calculation results, becomingand are then used as the foundation for global warming verification and cause-specific research.

However, with current climate models there isThere are insufficient modeled phenomenonphenomena (clouds/aerosols, land surface vegetation, sea ice, carbon cycle, etc.) or accepted climate processes (continental ice sheet dynamics, etc.). There.) with current climate models. It is sufficient likelihoodvery likely that thesethere will producebe differences in warming predictions due to actual global warming and climate models, so moving forward there will be a; therefore,  continued need for verification by means of enhanced climate models and observation is required.

Emissions of CO2 resultingemissions from a variety ofvarious human activity has aactivities have distinct geographically biased distribution but, because CO2 has adistributions. The long lifespan and is stirred byof CO2 as well as atmospheric circulation, CO2 concentration is  ensure that concentrations are increasing at roughly the same rate all over the world. However, the manner in which globally, although manifestations of room temperature effects are manifested is predicted to not be uniform. An example of this can be seen in Diagram 3, where, which illustrates warming patterns gainedobtained from the Meteorological Research Institute’s climate models are shown. . These show the dispersion for the effects of the warming effects as predicted by the climate models for every part of the world but characteristic distribution. Characteristic distributions identical to those shown in Diagram 3 isare commonly seen in anymany of the climate models, so; therefore, while the three previous evaluation models of IPCC had quantitative differences, even these are introduced astoo likely have qualitatively having common outcomes. By further analyzing the calculation results, mechanismsMechanisms that produce this characteristic distribution are clarified by analyzing the calculation results, becomingand are then used as the foundation for global warming verification and cause-specific research.

However, with current climate models there isThere are insufficient modeled phenomenonphenomena (clouds/aerosols, land surface vegetation, sea ice, carbon cycle, etc.) or accepted climate processes (continental ice sheet dynamics, etc.). There.) with the current climate models. It is sufficient likelihoodvery likely that thesethere will producebe differences in warming predictions due to actual global warming and climate models, so moving forward there will be a; therefore, continued need for verification by means of enhanced climate models and observation

 is required.

人類の様々な活動によって発生するCO2の排出は、地理的に偏った分布をしているが、CO2の寿命は長く、大気の循環によってかき混ぜられるため、世界各地のCO2濃度はほぼ一様に増加している。しかし、室温効果の表れ方は一様にならないと予測されている。このことを示す例として、気象研究所の気候モデルで得られた温暖化パターンを【図3】に示す。世界各地の気候モデルの温暖化予測結果にはばらつきが出るが、【図3】と同様の特徴的分布は、どの気候モデルにも共通にみられるもので、IPCCの過去三つの評価報告書でも、定量的な違いはあるが、定性的には共通の結果であるとして紹介されている。更に計算結果を解析することによってその特徴的分布をもたらすメカニズムも解明されており、温暖化の検証や原因特定の研究の基礎となっている。

しかし、現在の気候モデルでは十分にモデル化されていないもの(雲・エアロゾル、陸面植生、海氷、炭素循環等)、あるいは取り入れられていない気候プロセス(大陸氷床の力学等)があり、これらが実際の温暖化と気候モデルによる温暖化予測の違いをもたらす可能性は十分にあり得るので、気候モデルの高度化と観測による検証は今後とも継続する必要がある。

Emissions of CO2 resulting from various human activity has a geographically biased distribution but, because CO2 enjoys a long lifespan and is stirred by atmospheric circulation, CO2 concentration is increasing at roughly the same rate all over the world. However, the manner in which room temperature effects are manifested is predicted to not be uniform. As an example of this, warming patterns gained from the Meteorological Research Institute’s climate models are shown in Diagram 3.  These show the dispersion for the effects of the warming predicted by the climate models for every part of the world but characteristic distribution identical to Diagram 3 is commonly seen in any of the climate models; while the three previous evaluation models of IPCC had quantitative differences, even these are introduced as qualitatively having the same outcomes. By further analyzing the calculation results, mechanisms that produce this characteristic distribution are clarified, becoming the foundation for global warming verification and cause-specific research.

However, with current climate models there are not enough modeled phenomenon (clouds/aerosols, land surface vegetation, sea ice, carbon cycle, etc.) or accepted climate processes (continental ice sheet dynamics, etc.). There is sufficient likelihood that these will produce differences in warming predictions due to actual global warming and climate models, so moving forward there will be a continued need for verification by means of enhanced climate models and observation.

Emissions of CO2 resulting from variousa variety of human activity has a geographically biased distribution but, because CO2 enjoyshas a long lifespan and is stirred by atmospheric circulation, CO2 concentration is increasing at roughly the same rate all over the world. However, the manner in which room temperature effects are manifested is predicted to not be uniform. As anAn example of this, can be seen in Diagram 3, where warming patterns gained from the Meteorological Research Institute’s climate models are shown in Diagram 3.  These show the dispersion for the effects of the warming predicted by the climate models for every part of the world but characteristic distribution identical to Diagram 3 is commonly seen in any of the climate models;, so while the three previous evaluation models of IPCC had quantitative differences, even these are introduced as qualitatively having the samecommon outcomes. By further analyzing the calculation results, mechanisms that produce this characteristic distribution are clarified, becoming the foundation for global warming verification and cause-specific research.

However, with current climate models there are not enoughis insufficient modeled phenomenon (clouds/aerosols, land surface vegetation, sea ice, carbon cycle, etc.) or accepted climate processes (continental ice sheet dynamics, etc.). There is sufficient likelihood that these will produce differences in warming predictions due to actual global warming and climate models, so moving forward there will be a continued need for verification by means of enhanced climate models and observation. 

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