ORCID Profile
0000-0002-7893-1054
Current Organisations
W.M. Keck Observatory
,
Tsinghua University
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Atomic molecular and optical physics | Nanofabrication growth and self assembly | Astronomical instrumentation | Photonics optoelectronics and optical communications | Nonlinear optics and spectroscopy
Publisher: American Association for Cancer Research (AACR)
Date: 08-2023
DOI: 10.1158/0008-5472.23814641.V1
Abstract: supplementary materials
Publisher: American Geophysical Union (AGU)
Date: 26-07-2023
DOI: 10.1029/2023GL104406
Abstract: Wintertime precipitation, especially snowstorms, significantly impacts people's lives. However, the current forecast skill of wintertime precipitation is still low. Based on data augmentation (DA) and deep learning, we propose a DABU‐Net which improves the Global Forecast System wintertime precipitation forecast over southeastern China. We build three independent models for the forecast lead times of 24, 48, and 72 hr, respectively. After using DABU‐Net, the mean Root Mean Squared Errors (RMSEs) of the wintertime precipitation at the three lead times are reduced by 19.08%, 25.00%, and 22.37%, respectively. The threat scores (TS) are all significantly increased at the thresholds of 1, 5, 10, 15, and 20 mm day −1 for the three lead times. During heavy precipitation days, the RMSEs are decreased by 14% and TS are increased by 7% at the lead times within 48 hr. Therefore, combining DA and deep learning has great prospects in precipitation forecasting.
Publisher: MDPI AG
Date: 31-03-2018
DOI: 10.3390/RS10040535
Publisher: American Association for Cancer Research (AACR)
Date: 08-2023
DOI: 10.1158/0008-5472.23814635.V1
Abstract: Selected characteristics of the participants.
Publisher: American Association for the Advancement of Science (AAAS)
Date: 09-08-2019
Abstract: Fast radio bursts (FRBs) are brief radio emissions from distant astronomical sources. Some are known to repeat, but most are single bursts. Nonrepeating FRB observations have had insufficient positional accuracy to localize them to an in idual host galaxy. We report the interferometric localization of the single-pulse FRB 180924 to a position 4 kiloparsecs from the center of a luminous galaxy at redshift 0.3214. The burst has not been observed to repeat. The properties of the burst and its host are markedly different from those of the only other accurately localized FRB source. The integrated electron column density along the line of sight closely matches models of the intergalactic medium, indicating that some FRBs are clean probes of the baryonic component of the cosmic web.
Publisher: MDPI AG
Date: 17-03-2018
DOI: 10.3390/RS10030471
Publisher: Wiley
Date: 20-08-2018
DOI: 10.1111/PCE.13398
Abstract: Anatomical adaptations to high-salinity environments in mangrove leaves may be recorded in leaf water isotopes. Recent studies observed lower
Publisher: American Astronomical Society
Date: 06-2018
Publisher: American Astronomical Society
Date: 09-2022
Abstract: We present the KODIAQ-Z survey aimed to characterize the cool, photoionized gas at 2.2 ≲ z ≲ 3.6 in 202 H i -selected absorbers with 14.6 ≤ log N H I 20 that probe the interface between galaxies and the intergalactic medium (IGM). We find that gas with 14.6 ≤ log N H I 20 at 2.2 ≲ z ≲ 3.6 can be metal-rich (−1.6 ≲ [X/H] ≲ − 0.2) as seen in d ed Ly α absorbers (DLAs) it can also be very metal-poor ([X/H] − 2.4) or even pristine ([X/H] − 3.8), which is not observed in DLAs but is common in the IGM. For 16 log N H I 20 absorbers, the frequency of pristine absorbers is about 1%–10%, while for 14.6 ≤ log N H I ≤ 16 absorbers it is 10%–20%, similar to the diffuse IGM. Supersolar gas is extremely rare ( %) at these redshifts. The factor of several thousand spread from the lowest to highest metallicities and large metallicity variations (a factor of a few to ) between absorbers separated by less than Δ v 500 km s −1 imply that the metals are poorly mixed in 14.6 ≤ log N H I 20 gas. We show that these photoionized absorbers contribute to about 14% of the cosmic baryons and 45% of the cosmic metals at 2.2 ≲ z ≲ 3.6. We find that the mean metallicity increases with N H i , consistent with what is found in z 1 gas. The metallicity of gas in this column density regime has increased by a factor ∼8 from 2.2 ≲ z ≲ 3.6 to z 1, but the contribution of the 14.6 ≤ log N H I 19 absorbers to the total metal budget of the universe at z 1 is a quarter of that at 2.2 ≲ z ≲ 3.6. We show that FOGGIE cosmological zoom-in simulations have a similar evolution of [X/H] with N H i , which is not observed in lower-resolution simulations. In these simulations, very metal-poor absorbers with [X/H] − 2.4 at z ∼ 2–3 are tracers of inflows, while higher-metallicity absorbers are a mixture of inflows and outflows.
Publisher: American Astronomical Society
Date: 2022
Abstract: Star-forming galaxies are the sources likely to have reionized the universe. As we cannot observe them directly due to the opacity of the intergalactic medium at z ≳ 5, we study z ∼ 3–5 galaxies as proxies to place observational constraints on cosmic reionization. Using new deep Hubble Space Telescope rest-frame UV F336W and F435W imaging (30 orbits, ∼40 arcmin 2 , ∼29–30 mag depth at 5 σ ), we attempt to identify a s le of Lyman continuum galaxies (LCGs). These are in idual sources that emit ionizing flux below the Lyman break ( Å). This population would allow us to constrain cosmic reionization parameters such as the number density and escape fraction ( f esc ) of ionizing sources. We compile a comprehensive parent s le that does not rely on the Lyman-break technique for redshifts. We present three new spectroscopic candidates at z ∼ 3.7–4.4 and 32 new photometric candidates. The high-resolution multiband HST imaging and new Keck/Low Resolution Imaging Spectrometer (LRIS) redshifts make these promising spectroscopic LCG candidates. Using both a traditional and a probabilistic approach, we find that the most likely f esc values for the three spectroscopic LCG candidates are % and therefore not physical. We are unable to confirm the true nature of these sources with the best available imaging and direct blue Keck/LRIS spectroscopy. More spectra, especially from the new class of 30 m telescopes, will be required to build a statistical s le of LCGs to place firm observational constraints on cosmic reionization.
Publisher: Springer Science and Business Media LLC
Date: 22-01-2019
Abstract: The isotopic composition of water vapour provides integrated perspectives on the hydrological histories of air masses and has been widely used for tracing physical processes in hydrological and climatic studies. Over the last two decades, the infrared laser spectroscopy technique has been used to measure the isotopic composition of water vapour near the Earth’s surface. Here, we have assembled a global database of high temporal resolution stable water vapour isotope ratios (δ 18 O and δD) observed using this measurement technique. As of March 2018, the database includes data collected at 35 sites in 15 Köppen climate zones from the years 2004 to 2017. The key variables in each dataset are hourly values of δ 18 O and δD in atmospheric water vapour. To support interpretation of the isotopologue data, synchronized time series of standard meteorological variables from in situ observations and ERA5 reanalyses are also provided. This database is intended to serve as a centralized platform allowing researchers to share their vapour isotope datasets, thus facilitating investigations that transcend disciplinary and geographic boundaries.
Publisher: Wiley
Date: 05-2018
DOI: 10.1002/2017EF000768
Publisher: American Geophysical Union (AGU)
Date: 08-12-2022
DOI: 10.1029/2022GL100916
Abstract: Ocean waves, especially extreme waves, are vital for air‐sea interaction and shipping. However, current wave models still have significant biases. Based on a numerical wave model and a deep learning model, a BU‐Net by adding batch normalization layers to a U‐Net, we accurately predict the significant wave height (SWH) of the Northwest Pacific Ocean. For each day in 2017–2021, we conducted a 3‐day hindcast experiment using WAVEWATCH3 (WW3) to obtain the SWH forecasts at lead times of 24, 48, and 72 hr, forced by GFS real‐time forecast surface winds. After using BU‐Net, the mean Root Mean Squared Errors (RMSEs) of the SWH forecast from WW3 at lead times of 24, 48, and 72 hr are reduced by 40%, 38%, and 30%, respectively. During typhoon passages, the drop percentages of RMSEs all exceed 20% for three lead times. Therefore, combining numerical models and deep learning is very promising in wave forecasting.
Publisher: American Astronomical Society
Date: 20-07-2018
Publisher: American Geophysical Union (AGU)
Date: 12-2019
DOI: 10.1029/2019WR024729
Publisher: American Association for Cancer Research (AACR)
Date: 08-2023
DOI: 10.1158/0008-5472.23814632.V1
Abstract: Summary of G × BMI analyses using 1DF, two-step, and 3DF analyses.
Publisher: American Association for Cancer Research (AACR)
Date: 08-2023
DOI: 10.1158/0008-5472.C.6769316
Abstract: Abstract Colorectal cancer risk can be impacted by genetic, environmental, and lifestyle factors, including diet and obesity. Gene-environment interactions (G × E) can provide biological insights into the effects of obesity on colorectal cancer risk. Here, we assessed potential genome-wide G × E interactions between body mass index (BMI) and common SNPs for colorectal cancer risk using data from 36,415 colorectal cancer cases and 48,451 controls from three international colorectal cancer consortia (CCFR, CORECT, and GECCO). The G × E tests included the conventional logistic regression using multiplicative terms (one degree of freedom, 1DF test), the two-step EDGE method, and the joint 3DF test, each of which is powerful for detecting G × E interactions under specific conditions. BMI was associated with higher colorectal cancer risk. The two-step approach revealed a statistically significant G×BMI interaction located within the Formin 1/Gremlin 1 ( i FMN1/GREM1 /i ) gene region (rs58349661). This SNP was also identified by the 3DF test, with a suggestive statistical significance in the 1DF test. Among participants with the CC genotype of rs58349661, overweight and obesity categories were associated with higher colorectal cancer risk, whereas null associations were observed across BMI categories in those with the TT genotype. Using data from three large international consortia, this study discovered a locus in the i FMN1/GREM1 /i gene region that interacts with BMI on the association with colorectal cancer risk. Further studies should examine the potential mechanisms through which this locus modifies the etiologic link between obesity and colorectal cancer. Significance: This gene-environment interaction analysis revealed a genetic locus in FMN1/GREM1 that interacts with body mass index in colorectal cancer risk, suggesting potential implications for precision prevention strategies. /
Publisher: MDPI AG
Date: 31-07-2017
DOI: 10.3390/ATMOS8080141
Abstract: Land surface models (LSMs) are important tools for simulating energy, water and momentum transfer across the land–atmosphere interface. Many LSMs have been developed over the past 50 years, including the Common Land Model (CoLM), a LSM that has primarily been developed and maintained by Chinese researchers. CoLM has been adopted by several Chinese Earth System Models (GCMs) that will participate in the Coupled Model Intercomparison Project Phase 6 (CMIP6). In this study, we evaluate the performance of CoLM with respect to simulating the water and energy budgets. We compare simulations using the latest version of CoLM (CoLM2014), the previous version of CoLM (CoLM2005) that was used in the Beijing Normal University Earth System Model (BNU-GCM) for CMIP5, and the Community Land Model version 4.5 (CLM4.5) against global diagnostic data and observations. Our results demonstrate that CLM4.5 outperforms CoLM2005 and CoLM2014 in simulating runoff (R), although all three models overestimate runoff in northern Europe and underestimate runoff in North America and East Asia. Simulations of runoff and snow depth (SNDP) are substantially improved in CoLM2014 relative to CoLM2005, particularly in the Northern Hemisphere. The simulated global energy budget is also substantially improved in CoLM2014 relative to CoLM2005. Simulations of sensible heat (SH) based on CoLM2014 compare favorably to those based on CLM4.5, while root-mean-square errors (RMSEs) in net surface radiation indicate that CoLM2014 (RMSE = 16.02 W m−2) outperforms both CoLM2005 (17.41 W m−2) and CLM4.5 (23.73 W m−2). Comparisons at regional scales show that all three models perform poorly in the Amazon region but perform relatively well over the central United States, Siberia and the Tibetan Plateau. Overall, CoLM2014 is improved relative to CoLM2005, and is comparable to CLM4.5 with respect to many aspects of the energy and water budgets. Our evaluation confirms CoLM2014 is suitable for inclusion in Chinese GCMs, which will increase the ersity of LSMs considered during CMIP6.
Publisher: American Association for Cancer Research (AACR)
Date: 08-2023
DOI: 10.1158/0008-5472.23814641
Abstract: supplementary materials
Publisher: American Association for Cancer Research (AACR)
Date: 30-05-2023
DOI: 10.1158/0008-5472.CAN-22-3713
Abstract: This gene-environment interaction analysis revealed a genetic locus in FMN1/GREM1 that interacts with body mass index in colorectal cancer risk, suggesting potential implications for precision prevention strategies.
Publisher: American Association for Cancer Research (AACR)
Date: 08-2023
DOI: 10.1158/0008-5472.23814632
Abstract: Summary of G × BMI analyses using 1DF, two-step, and 3DF analyses.
Publisher: American Association for Cancer Research (AACR)
Date: 08-2023
DOI: 10.1158/0008-5472.C.6769316.V1
Abstract: Abstract Colorectal cancer risk can be impacted by genetic, environmental, and lifestyle factors, including diet and obesity. Gene-environment interactions (G × E) can provide biological insights into the effects of obesity on colorectal cancer risk. Here, we assessed potential genome-wide G × E interactions between body mass index (BMI) and common SNPs for colorectal cancer risk using data from 36,415 colorectal cancer cases and 48,451 controls from three international colorectal cancer consortia (CCFR, CORECT, and GECCO). The G × E tests included the conventional logistic regression using multiplicative terms (one degree of freedom, 1DF test), the two-step EDGE method, and the joint 3DF test, each of which is powerful for detecting G × E interactions under specific conditions. BMI was associated with higher colorectal cancer risk. The two-step approach revealed a statistically significant G×BMI interaction located within the Formin 1/Gremlin 1 ( i FMN1/GREM1 /i ) gene region (rs58349661). This SNP was also identified by the 3DF test, with a suggestive statistical significance in the 1DF test. Among participants with the CC genotype of rs58349661, overweight and obesity categories were associated with higher colorectal cancer risk, whereas null associations were observed across BMI categories in those with the TT genotype. Using data from three large international consortia, this study discovered a locus in the i FMN1/GREM1 /i gene region that interacts with BMI on the association with colorectal cancer risk. Further studies should examine the potential mechanisms through which this locus modifies the etiologic link between obesity and colorectal cancer. Significance: This gene-environment interaction analysis revealed a genetic locus in FMN1/GREM1 that interacts with body mass index in colorectal cancer risk, suggesting potential implications for precision prevention strategies. /
Location: United States of America
Location: United Kingdom of Great Britain and Northern Ireland
Start Date: 2023
End Date: 12-2029
Amount: $34,948,820.00
Funder: Australian Research Council
View Funded Activity