4.7 Article

Observed Diurnal Cycle Climatology of Planetary Boundary Layer Height

Journal

JOURNAL OF CLIMATE
Volume 23, Issue 21, Pages 5790-5809

Publisher

AMER METEOROLOGICAL SOC
DOI: 10.1175/2010JCLI3552.1

Keywords

-

Funding

  1. NOAA [631017]
  2. Climate Prediction Program for the Americas (CPPA) [NA08OAR4310875]

Ask authors/readers for more resources

An observational climatology of the planetary boundary layer height (PBLH) diurnal cycle, specific to surface characteristics, is derived from 58 286 fine-resolution soundings collected in 14 major field campaigns around the world. An objective algorithm determining PBLH from sounding profiles is first developed and then verified by available lidar and sodar retrievals. The algorithm is robust and produces realistic PBLH as validated by visual examination of several thousand additional soundings. The resulting PBLH from all existing data is then subject to various statistical analyses. It is demonstrated that PBLH occurrence frequencies under stable, neutral, and unstable regimes follow a narrow, intermediate, and wide Gamma distribution, respectively, over both land and oceans. Over ice all exhibit a narrow distribution. The climatological PBLH diurnal cycle is strong over land and oceans, with a distinct peak at 1500 and 1200 LT, whereas the cycle is weak over ice. Relative to midlatitude land, the PBLH variability over tropical oceans is larger during the morning and at night but much smaller in the afternoon. This study provides a unique observational database for critical model evaluation on the PBLH diurnal cycle and its temporal/spatial variability.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Meteorology & Atmospheric Sciences

Dynamical downscaling simulation of the East Asian summer monsoon in a regionalClimate-WeatherResearch and Forecasting model

Qingquan Li, Tao Wang, Fang Wang, Xin-Zhong Liang, Chongbo Zhao, Lili Dong, Chunyu Zhao, Bing Xie

Summary: The CWRF model effectively simulates the East Asian summer monsoon and Chinese climate, demonstrating good agreement with observational data in terms of atmospheric circulation and water vapor transport. However, biases still exist, particularly in the Yangtze-Huaihe River basin. The model overestimates land-ocean thermal contrast, resulting in a stronger East Asian summer monsoon, with corresponding precipitation and temperature biases in China.

INTERNATIONAL JOURNAL OF CLIMATOLOGY (2021)

Article Meteorology & Atmospheric Sciences

High-resolution Simulation of an Extreme Heavy Rainfall Event in Shanghai Using the Weather Research and Forecasting Model: Sensitivity to Planetary Boundary Layer Parameterization

Rui Wang, Yiting Zhu, Fengxue Qiao, Xin-Zhong Liang, Han Zhang, Yang Ding

Summary: This study examines the effects of planetary boundary layer (PBL) physics on extreme rainfall forecast, revealing that the MYNN scheme shows significant advantages in predicting extreme rainfall distribution and time of peak rainfall, especially in finer grids.

ADVANCES IN ATMOSPHERIC SCIENCES (2021)

Article Environmental Sciences

Global Population Exposed to Extreme Events in the 150 Most Populated Cities of the World: Implications for Public Health

Linze Li, Chengsheng Jiang, Raghu Murtugudde, Xin-Zhong Liang, Amir Sapkota

Summary: Climate change-induced increases in extreme weather events, coupled with urban population growth, are amplifying the impact. With most population growth projected to occur in urban centers of low- and middle-income countries in the coming decades, skillful early warnings and community-specific response strategies are urgently needed to reduce public health impacts and associated costs to the global economy.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2021)

Article Meteorology & Atmospheric Sciences

Coupling Between Land Surface Fluxes and Lifting Condensation Level: Mechanisms and Sensitivity to Model Physics Parameterizations

Jiangfeng Wei, Jingwen Zhao, Haishan Chen, Xin-Zhong Liang

Summary: Biases in land-atmosphere interaction simulations can affect weather and climate predictions, with different components and parameterizations contributing to these biases. Analysis of data from East Asia shows varying relationships between land surface fluxes and lifting condensation level height, with different parameterizations in the regional climate model impacting these relationships. Further understanding of land-atmosphere interactions is crucial for improving coupled model simulations.

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2021)

Article Meteorology & Atmospheric Sciences

Role of convection representation across the gray zone in forecasting warm season extreme precipitation over Shanghai from two typical cases

Rui Wang, Fengxue Qiao, Xin-Zhong Liang, Yiting Zhu, Han Zhang, Qi Li, Yang Ding

Summary: This study investigates the impact of convection representation in the WRF model on extreme precipitation events in Shanghai, finding that the GF parameterization performs better in simulating primary rainfall intensity peaks, while the KF parameterization is more accurate in capturing diurnal timing of precipitation events.

ATMOSPHERIC RESEARCH (2021)

Article Meteorology & Atmospheric Sciences

CWRF downscaling and understanding of China precipitation projections

Rongsheng Jiang, Lei Sun, Chao Sun, Xin-Zhong Liang

Summary: The CWRF downscaling improved the CCSM4 in capturing observed precipitation characteristics and reduced model structural uncertainties for future projections, highlighting the reliability of regional precipitation changes.

CLIMATE DYNAMICS (2021)

Article Environmental Sciences

Increasing heat risk in China's urban agglomerations

Guwei Zhang, Gang Zeng, Xin-Zhong Liang, Cunrui Huang

Summary: The study predicts a sharp increase in heat danger days in Chinese urban agglomerations during periods of population explosion, with approximately one-third of the population facing three or more heat danger days annually. In the coming decades, the heat risk is expected to significantly increase, especially under high emission pathways, highlighting the need to develop strategic plans to reduce heat risk.

ENVIRONMENTAL RESEARCH LETTERS (2021)

Article Meteorology & Atmospheric Sciences

The impacts of multi-physics parameterization on forecasting heavy rainfall induced by weak landfalling Typhoon Rumbia (2018)

Yiting Zhu, Fengxue Qiao, Yujia Liu, Xin-Zhong Liang, Qiyang Liu, Rui Wang, Han Zhang

Summary: The distribution of heavy rainfall from a landed tropical cyclone is mainly influenced by the storm's intensity at landfall, while environmental factors play a larger role during the inland stages. Different microphysics and planetary boundary layer schemes impact the simulation of the storm's thermodynamic structure and key environmental factors, resulting in varying forecast skills at different stages. The use of certain schemes, such as the Yonsei University PBL scheme and MP schemes with sophisticated ice processes, demonstrate advantages in simulating postlandfall heavy rainfall from weak tropical cyclones.

ATMOSPHERIC RESEARCH (2022)

Editorial Material Multidisciplinary Sciences

Extreme rainfall slows the global economy

Xin-Zhong Liang

Summary: Excessive rainfall can lead to catastrophic socio-economic losses, and analyzing changes in gross regional product can help identify how extreme precipitation affects global economic productivity.

NATURE (2022)

Article Environmental Sciences

Assessing proximate intermediates between ambient temperature, hospital admissions, and mortality in hemodialysis patients

Richard Remigio, Rodman Turpin, Jochen G. Raimann, Peter Kotanko, Frank W. Maddux, Amy Rebecca Sapkota, Xin-Zhong Liang, Robin Puett, Xin He, Amir Sapkota

Summary: The study confirmed the association between ambient temperature, all-cause hospital admissions, and all-cause mortality increase. Findings suggest that pre-dialysis systolic blood pressure (preSBP) and interdialytic weight gain (IDWG) can act as independent mediators. However, in combined pathway models, changes in preSBP and IDWG had little intermediary effect on the association between temperature and all-cause hospital admissions and mortality.

ENVIRONMENTAL RESEARCH (2022)

Article Agronomy

Perennial biomass crops on marginal land improve both regional climate and agricultural productivity

Yufeng He, Deepak Jaiswal, Xin-Zhong Liang, Chao Sun, Stephen P. Long

Summary: Growing perennial grasses, such as Miscanthus x giganteus, on marginal land can not only reduce soil erosion and restore carbon stocks, but also mitigate regional climate warming and drying. This is achieved through increased duration and size of the leaf canopy, resulting in larger solar reflection, more evapotranspiration, and decreased sensible heat transfer. These interactions lead to increased rainfall, reduced water vapor pressure deficit, and higher crop yields, providing a feasible solution to climate change mitigation and adaptation.

GLOBAL CHANGE BIOLOGY BIOENERGY (2022)

Article Meteorology & Atmospheric Sciences

Quantifying the Contribution of Urbanization to Summer Extreme High-Temperature Events in the Beijing-Tianjin-Hebei Urban Agglomeration

Yujie Wang, Yang Xiang, Lianchun Song, Xin-Zhong Liang

Summary: This study quantifies the contribution of urbanization to extreme high-temperature events in Beijing, Tianjin, and Hebei. The research finds that urbanization has significantly increased the intensity and frequency of these events, especially in larger cities. Therefore, it is crucial to limit the rate of urbanization and implement effective strategies for adaptation and mitigation in order to sustain development.

JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY (2022)

Article Environmental Sciences

Combined effects of air pollution and extreme heat events among ESKD patients within the Northeastern United States

Richard Remigio, Hao He, Jochen G. Raimann, Peter Kotanko, Frank W. Maddux, Amy Rebecca Sapkota, Xin-Zhong Liang, Robin Puett, Xin He, Amir Sapkota

Summary: The study found an interdependent relationship between air pollution and extreme heat events among ESKD patients, impacting all-cause mortality risks. Increases in air pollution during extreme heat events were associated with significantly higher mortality risks among ESKD patients.

SCIENCE OF THE TOTAL ENVIRONMENT (2022)

Article Environmental Sciences

Agricultural Irrigation Effects on Hydrological Processes in the United States Northern High Plains Aquifer Simulated by the Coupled SWAT-MODFLOW System

Sijal Dangol, Xuesong Zhang, Xin-Zhong Liang, Fernando Miralles-Wilhelm

Summary: Groundwater use for irrigation has a significant impact on agricultural productivity and local water resources. This study evaluated different groundwater irrigation schemes and found that auto-irrigation scheduling based on plant water stress generally outperformed prescribed irrigation based on well pumping rates in simulating irrigation volume and groundwater levels. The study also highlighted the effects of groundwater irrigation on the water cycle and crop water productivity.

WATER (2022)

Article Environmental Sciences

Multivariate Calibration of the SWAT Model Using Remotely Sensed Datasets

Sijal Dangol, Xuesong Zhang, Xin-Zhong Liang, Martha Anderson, Wade Crow, Sangchul Lee, Glenn E. Moglen, Gregory W. McCarty

Summary: This study calibrated the Soil and Water Assessment Tool (SWAT) model using streamflow data and remotely sensed hydrologic variables. The results show that adding remotely sensed ET and soil moisture to streamflow for calibration can impact the sensitive parameters of the model, but it does not necessarily improve its performance. Using remote sensing data alone leads to a deterioration in model performance. Different choices of remote sensing data for calibration also result in noticeable differences in simulated hydrologic processes. The comparison between SWAT and SWAT-Carbon models under different calibration setups reveals significant differences in their performance.

REMOTE SENSING (2023)

No Data Available