A5100368445- Climate variability and models
- Meteorological Phenomena and Simulations
- Atmospheric and Environmental Gas Dynamics
- Climate change and permafrost
- Arctic and Antarctic ice dynamics
- Precipitation Measurement and Analysis
- Cryospheric studies and observations
- Atmospheric aerosols and clouds
- Tropical and Extratropical Cyclones Research
- Hydrology and Drought Analysis
- Climate change impacts on agriculture
- Hydrology and Watershed Management Studies
- Fire effects on ecosystems
- Geographic Information Systems Studies
- Soil Moisture and Remote Sensing
- Geological Modeling and Analysis
- Plant Water Relations and Carbon Dynamics
- Atmospheric chemistry and aerosols
- Oceanographic and Atmospheric Processes
University of California, Los Angeles
2020-2024
Purdue University West Lafayette
2024
Ocean University of China
2013-2023
Zhejiang University
2022
Civil Aviation Administration of China
2019-2020
Albany State University
2019
University at Albany, State University of New York
2017-2019
Abstract Overestimation of precipitation frequency and duration while underestimating intensity, that is, the “drizzling” bias, has been a long‐standing problem global climate models. Here we explore this issue from perspective partitioning. We found most models in Climate Model Intercomparison Project Phase 5 (CMIP5) have high convective‐to‐total (PC/PR) ratios low latitudes. Convective higher longer but lower intensity than non‐convective many As result, PC/PR ratio contributes to bias...
Abstract Precipitation amount (A), frequency (F), intensity (I), and duration (D) are important properties of precipitation, but their estimates sensitive to data resolution. This study investigates this resolution dependence, the influences different model physics, by analyzing simulations Community Atmospheric Model (CAM) version 4 (CAM4) 5 (CAM5) with varying grid sizes from ~0.25 2.0°. Results show that both CAM4 CAM5 greatly overestimate F D underestimate I at all resolutions, despite...
Abstract. Predicting future climate change over a region of complex terrain, such as the western United States (US), remains challenging due to low resolution global models (GCMs). Yet extremes recent years in this region, floods, wildfires, and drought, are likely intensify further warms, underscoring need for high-quality high-resolution predictions. Here, we present an ensemble dynamically downscaled simulations US from 1980–2100 at 9 km grid spacing, driven by 16 latest-generation GCMs....
Abstract An emergent constraint (EC) is a statistical relationship, across model ensemble, between measurable aspect of the present-day climate (the predictor) and an future projected change predictand). If such relationship robust understood, it may provide constrained projections for real world. Here, models from phase 6 Coupled Model Intercomparison Project (CMIP6) are used to revisit several ECs that were proposed in prior intercomparisons with two aims: 1) assess whether these survive...
Abstract Days of extreme precipitation over California are evaluated in Coupled Model Intercomparison Project Phase 6 (CMIP6) models and the ERA‐Interim reanalysis. In current climate, model spread composited on days is closely related to magnitude integrated vapor transport (IVT) across models, a proxy for intensity atmospheric rivers. Most underestimate IVT associated with precipitation, according ERA‐Interim. This due mostly contribution moisture, which almost all overestimate, while...
Abstract Modifications are made to the calculation of warm‐rain hydrometeor number concentrations Weather Research and Forecasting double‐moment six‐class (WDM6) microphysics scheme. These modifications related with cloud condensation nuclei activation, droplet evaporation, snow graupel melting. The effects tested in a North China heavy rain event (Case01) as well short‐duration Hebei Province (Case02). results show that WDM6 scheme underestimates mixing ratios (Qc) (Nc), while it...
Abstract Throughout the world, hydrologic cycle is projected to become more variable due climate change, posing challenges in semi-arid regions with high water resource vulnerability. Precipitation whiplash results from variability, and refers interannual shifts between wet (⩾80th historical percentile) dry (⩽20th years. Using five model large ensembles, we show that increase frequency (25%–60%) intensity (30%–100%) by 2100 across several of globe, including Western North America...
Daily and subdaily precipitation extremes in historical phase 6 of the Coupled Model Intercomparison Project (CMIP6) simulations are evaluated against satellite-based observational estimates. Extremes defined as amount exceeded every x years, ranging from 0.01 to 10, encompassing rarest events that detectable record without noisy results. With increasing temporal resolution there is an increased discrepancy between models observations: for daily extremes, multimodel median underestimates...
Methyl halides (CH3Cl, CH3Br, and CH3I) are ozone-depleting substances. Biomass burning (BB) is an important source of methyl halides. The temporal variations global spatial distribution BB halide emissions unclear. Thus, from during 2003-2021 were estimated based on satellite data. A significant decreasing trend (p < 0.01) in was found between 2003 2021, with CH3Cl 302 to 220 Gg yr-1, CH3Br 16.5 11.7 CH3I 8.9 6.1 yr-1. From a latitudinal perspective, the northern high-latitude region...
Abstract. We analyzed the Arctic atmosphere – sea ice ocean relationships to reveal their intrinsic connections and roles of surface temperature (SST) air (SAT) on interannual variations trends concentration (SIC) in July October during 1951 2021. Both SST SIC have significant impacts SIC. affects both decadal SIC, whereas SAT has more effects In addition, with a seven-month lead time, which is due much stronger warming trend winter than summer. Statistically explained 53 % 35 detrended...
The number concentrations and drop size distributions (DSDs) of warm-rain hydrometeors play an important role in the simulation microphysical processes. To evaluate performance WDM6 scheme, which predicts cloud concentration (Nc) explicitly aspects DSDs, scheme is compared with airborne observations a flight trial, as well simulations Thompson Morrison scheme. Results show that produces smaller (larger) (rain) wider DSDs to observations, largest biases at upper levels stratiform (SC). both...
Abstract Large uncertainty exists in hydrologic sensitivity (HS), the global-mean precipitation increase per degree of warming, across global climate model (GCM) ensembles. Meanwhile, circulation and hence are sensitive to variations surface temperature under internal variability. El Niño–Southern Oscillation (ENSO) is most dominant mode variability Here we show phase 6 Coupled Model Intercomparison Project (CMIP6) that strength HS ENSO predictive change context ( r = 0.56). This correlation...
Earth and Space Science Open Archive This preprint has been submitted to is under consideration at Journal of Geophysical Research - Atmospheres. ESSOAr a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]The convective-to-total precipitation ratio "drizzling" bias in climate modelsAuthorsDiCheniDAiguoDaiAlexHallSee all authors Di CheniDCorresponding Author•...
Abstract The hydrologic cycle in California is strongly influenced by wet‐season (November–April) precipitation. Here, we demonstrate the existence of an influential mode North Pacific atmospheric pressure variability that regulates precipitation over both northern and southern California. This mode, named as “California mode” (CPM), statistically distinct from other well‐known modes such Pacific‐North American pattern. In addition to controlling mean precipitation, positive days CPM...
Abstract Extratropical cyclones are critical weather systems affecting climate change in mid and high-latitude regions. Researching the characteristics, patterns, movements of extratropical is helpful for improved prediction understanding global change. Currently, there still great difficulties predicting cyclones. Also, few prior studies have investigated potential impact Arctic sea ice on cyclone activity (ECA). This study utilizes updated ERA5 data an ECA identification method to reveal...
Abstract. Predicting future climate change over a region of complex terrain, such as the western United States (U.S.), remains challenging due to low resolution global models (GCMs). Yet extremes recent years in this region, floods, wildfires, and drought, are likely intensify further warms, underscoring need for high-quality predictions. Here, we present an ensemble dynamically downscaled simulations U.S. from 1980–2100 at 9-km grid spacing, driven by sixteen latest-generation GCMs. This...
Abstract Food is the material basis for human survival. Therefore, food security a top priority people's livelihood and sustainable development future destiny of beings. In context global warming in recent decades, Arctic region has experienced more significant temperature anomalies than midlatitudes due to "Arctic amplification," rate sea ice reduction accelerated, which an important impact on climate change middle high latitudes, especially frequent occurrence extreme disasters that...
Abstract Future projections of global meteorological drought are evaluated in the Multi‐Model Large Ensemble Archive, including an evaluation atmospheric moisture budget, conditioned on years. Drought is defined as 5‐year running‐mean annual precipitation below some threshold, for example, 10th percentile. increases frequency over subtropics, addition to certain tropical regions, consistent with previous studies. The moisture‐budget decomposition allows be mean‐flow, eddy, or feedback...
Abstract Simulating and predicting Arctic sea ice accurately remains an academic focus due to the complex unclear mechanisms of variability model biases. Meanwhile, relevant forecasting monitoring authorities are searching for models meet practical needs. Given previous ideal performance cGENIE in other fields notable features, we evaluated model’s skill simulating using multiple methods it demonstrates great potential combined advantages. On this basis, examined direct drivers sea-ice...
Based on the Indian-Pacific Ocean air-sea heat flux (IPOFlux) Dataset [1], characteristics of latent and sensible fluxes over Kuroshio area are analyzed in this paper. Correlation analysis indicates that there is a remarkable positive correlation between flood season precipitation Qingdao with 20-month lag. This result has important implications for prediction Qingdao, provides scientific basis further study its prediction. these results, regression equation obtained to predict 2012. The...
Simulation results of the WDM6 scheme and Thompson scheme, both which are commonly-used double-moment bulk microphysics schemes, compared within Weather Research Forecasting model. The purpose comparison is to study difference in aspects warm-rain hydrometeor number concentrations, droplet size distributions, budgets rain mixing ratio concentration. It found that overestimates amount large precipitation, underestimates those small scheme. cloud concentration (CNC) predicted one three orders...