Evaluating cloud radiative effect from CMIP6 and two satellite datasets over the Tibetan Plateau based on CERES observation

Zhao, Yang; Zhao, Yuxin; Li, Jiming; Wang, Yang; Jian, Bida; Zhang, Min; Huang, Jianping

doi:10.1007/s00382-021-05991-7

Cited by 7 publications

(3 citation statements)

References 100 publications

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“…To date, models participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6; Eyring et al., 2016) are representative of the state‐of‐the‐art climate models in the world. While many studies have been devoted to examining the simulated daily mean cloud properties and associated radiative effects in various regimes (e.g., Li et al., 2021; Miao et al., 2021; Smith et al., 2020; Vignesh et al., 2020; Wei et al., 2021; Zhao et al., 2021), none is focused on cloud diurnal cycle to our best knowledge. Given the above considerations, the present study adopted our previous approach (Chen & Wang, 2016b) which proposed using the ratio of “effective‐daytime cloud fraction” (the cloud fraction weighting averaged with solar diurnal cycle) to the conventional daily mean cloud fraction, to evaluate the CDV simulation in CMIP6 models.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Simulated Cloud Diurnal Variation in CMIP6 Climate Models

et al. 2022

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Cloud diurnal variation (CDV) affects cloud radiative effects significantly as clouds reflect shortwave radiation only during the daytime but trap outgoing longwave radiation in both daytime and nighttime. Meanwhile, CDV also rectifies atmospheric variations of longer time scales via interactions with other physical and dynamic processes. These make CDV a valuable aspect for diagnosing climate model performance. Here, we evaluate the accuracy of simulated CDV in state‐of‐the‐art global climate models (GCMs) by comparing CDV in the historical simulation of 32 GCMs from 20 institutes participating the Coupled Model Intercomparison Project Phase 6 (CMIP6) with observations from the International Satellite and Cloud Climatology Project‐H product. While good agreement is found over the oceans, significant biases exist over land (notably deserts and plateaus), where the models simulate excessive nighttime clouds and insufficient daytime clouds and miss the observed peak of cloud fraction in the early afternoon. These biases persist throughout the year. It is illustrated that correcting the CDV biases tends to reduce the known model biases of smaller shortwave cloud radiative effect over the midlatitude Africa‐Europe‐Asia continent, South America, and vast ocean areas. Inter‐model comparisons show that the CDV biases vary significantly among models from different institutes and present similar characteristics among models from the same institutes, and suggests that the biases are more likely to be attributed to deficiencies in cloud‐related physical parameterizations rather than the model treatment of resolution, ocean, and chemistry. The improvement of CMIP6 models against their CMIP5 counterparts in simulating CDV is also discussed.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Simulated Cloud Diurnal Variation in CMIP6 Climate Models

et al. 2022

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“…These two experiments provide good opportunities to investigate the underlying physical mechanisms of cloud feedback (Webb et al, 2017). However, clouds and their changes are complex and lack reliable and accurate representation (e.g., gray shading in Figure S3 in Supporting Information S1) even in the latest CMIP6 (Zelinka et al, 2020), especially on the TP (Li et al, 2021;Zhao et al, 2022aZhao et al, , 2022b. Therefore, we sought to reduce uncertainty in CMIP6 estimates of changes in CVD with warming (Brunner et al, 2020;Chen et al, 2020;Liang et al, 2022).…”

Section: Possible Changes In Cvd Induced By Warming Climatementioning

confidence: 99%

Warming Climate‐Induced Changes in Cloud Vertical Distribution Possibly Exacerbate Intra‐Atmospheric Heating Over the Tibetan Plateau

Zhao,

Li,

Wang

et al. 2024

Geophysical Research Letters

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The complex and diverse cloud vertical distribution (CVD) largely impacts radiative and precipitation properties of clouds. Using 10‐year active satellite observations, we classified CVD over the Tibetan Plateau into 12 categories and found that overlapping clouds have less frequency but stronger radiative effect, heating rate and larger precipitation (partly reflecting the seeding effect) compared with single‐layer non‐strong convective clouds. Under a warming climate due to uniform sea surface temperature increase of 4K (quadrupling CO2 increase), extremely high (>10 km) ice clouds will increase, particularly those below the tropopause will increase slightly (largely), accompanied by clear (weak) increases in stratospheric clouds. Simultaneously, a moderate to rapid decrease will occur in clouds below 10 km. Such CVD changes could further exacerbate tropopause warming. The probability of cloud overlap is also likely to increase in warmer climates, thus possibly further causing non‐convective cloud systems with stronger intra‐atmospheric heating, larger precipitation intensity and proportion.

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“…TP warming has been studied extensively with a focus on local factors that may lead to this phenomenon. Among these factors, cloud cover has emerged as a crucial determinant of the SAT over TP, particularly in the northeastern region (Duan et al., 2016; Zhao et al., 2022). Therefore, changes in the cloud cover associated with the SAT_EOF1 are further investigated.…”

Section: Primary Pattern Of the Summer Eastern Tp‐sat And Its Associa...mentioning

confidence: 99%

Variations in Summer Surface Air Temperature Over the Eastern Tibetan Plateau: Connection With Barents‐Kara Spring Sea Ice and Summer Arctic Oscillation

Deng,

Zhou,

Wang

et al. 2023

JGR Atmospheres

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Variations in surface air temperature on the eastern Tibetan Plateau (TP‐SAT) during boreal summer, related to Barents‐Kara spring sea ice and summer Arctic Oscillation (AO), are investigated using observations and ERA‐5 reanalysis data during 1979–2018. Results show that the primary mode of summer eastern TP‐SAT (SAT_EOF1) is characterized by the consistent warming pattern with larger values over the northeastern TP, which is linked with the anticyclonic circulation located in the northeastern flank of the TP. This anticyclone enhances westward water vapor transport, warm temperature advection, and causes descending over the eastern TP, Descending further results in deceased middle level cloud cover and increased solar radiation, accordingly, favoring the eastern TP warming. Further statistical analysis reveals a robust connection between Barents‐Kara spring sea ice, summer AO and SAT_EOF1. Moreover, anticyclonic anomaly located in the northeastern region of the TP acts as an important driver of this consistent warming pattern over the eastern TP, which is modulated by two individual Rossby wave trains from the northwestern Russia and northwestern Atlantic. The spring sea ice in Barents‐Kara could cause decreased precipitation and reduced soil moisture in northwestern Russia during following summer, which further induces the Eurasian‐like teleconnection and affects the anticyclonic anomaly situated in the northeastern flank of the TP, thereby favoring eastern TP warming. In addition, from northwestern Atlantic to northeastern region of the TP, the Rossby wave train is mainly affected by summer AO, with positive AO causing anticyclonic anomaly over northeast of the TP, thus contributing to the TP warming.

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Evaluating cloud radiative effect from CMIP6 and two satellite datasets over the Tibetan Plateau based on CERES observation

Cited by 7 publications

References 100 publications

Evaluation of Simulated Cloud Diurnal Variation in CMIP6 Climate Models

Evaluation of Simulated Cloud Diurnal Variation in CMIP6 Climate Models

Warming Climate‐Induced Changes in Cloud Vertical Distribution Possibly Exacerbate Intra‐Atmospheric Heating Over the Tibetan Plateau

Variations in Summer Surface Air Temperature Over the Eastern Tibetan Plateau: Connection With Barents‐Kara Spring Sea Ice and Summer Arctic Oscillation

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