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Featured researches published by Jia- Lin.


Journal of Climate | 2006

Tropical Intraseasonal Variability in 14 IPCC AR4 Climate Models Part I: Convective Signals

Jia-Lin Lin; George N. Kiladis; Brian E. Mapes; Klaus M. Weickmann; Kenneth R. Sperber; Wuyin Lin; Matthew C. Wheeler; Siegfried D. Schubert; Anthony D. Del Genio; Leo J. Donner; Seita Emori; Jean-Francois Gueremy; Frederic Hourdin; Philip J. Rasch; Erich Roeckner; J. F. Scinocca

Abstract This study evaluates the tropical intraseasonal variability, especially the fidelity of Madden–Julian oscillation (MJO) simulations, in 14 coupled general circulation models (GCMs) participating in the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4). Eight years of daily precipitation from each model’s twentieth-century climate simulation are analyzed and compared with daily satellite-retrieved precipitation. Space–time spectral analysis is used to obtain the variance and phase speed of dominant convectively coupled equatorial waves, including the MJO, Kelvin, equatorial Rossby (ER), mixed Rossby–gravity (MRG), and eastward inertio–gravity (EIG) and westward inertio–gravity (WIG) waves. The variance and propagation of the MJO, defined as the eastward wavenumbers 1–6, 30–70-day mode, are examined in detail. The results show that current state-of-the-art GCMs still have significant problems and display a wide range of skill in simulating the tropical intraseasonal va...


Journal of the Atmospheric Sciences | 2004

Stratiform Precipitation, Vertical Heating Profiles, and the Madden-Julian Oscillation

Jia-Lin Lin; Brian E. Mapes; Minghua Zhang; Matthew Newman

The observed profile of heating through the troposphere in the Madden‐Julian oscillation (MJO) is found to be very top heavy: more so than seasonal-mean heating and systematically more so than all of the seven models for which intraseasonal heating anomaly profiles have been published. Consistently, the Tropical Rainfall Measuring Mission (TRMM) precipitation radar shows that stratiform precipitation (known to heat the upper troposphere and cool the lower troposphere) contributes more to intraseasonal rainfall variations than it does to seasonal-mean rainfall. Stratiform rainfall anomalies lag convective rainfall anomalies by a few days. Reasons for this lag apparently include increased wind shear and middle‐upper tropospheric humidity, which also lag convective (and total) rainfall by a few days. A distinct rearward tilt is seen in anomalous heating time‐height sections, in both the strong December 1992 MJO event observed by the Tropical Ocean Global Atmosphere Coupled Ocean‐Atmosphere Response Experiment (TOGA COARE) and a composite MJO constructed from multiyear datasets. Interpretation is aided by a formal partitioning of the COARE heating section into convective, stratiform, and radiative components. The tilted structure after the maximum surface rainfall appears to be largely contributed by latent and radiative heating in enhanced stratiform anvils. However, the tilt of anomalous heating ahead of maximum rainfall is seen within the convective component, suggesting a change from shallower to deeper convective heating as the wet phase of the MJO approached the longitude of the observations.


Journal of Climate | 2013

MJO and Convectively Coupled Equatorial Waves Simulated by CMIP5 Climate Models

Meng-Pai Hung; Jia-Lin Lin; Wanqiu Wang; Daehyun Kim; Toshiaki Shinoda; Scott J. Weaver

AbstractThis study evaluates the simulation of the Madden–Julian oscillation (MJO) and convectively coupled equatorial waves (CCEWs) in 20 models from the Coupled Model Intercomparison Project (CMIP) phase 5 (CMIP5) in the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) and compares the results with the simulation of CMIP phase 3 (CMIP3) models in the IPCC Fourth Assessment Report (AR4). The results show that the CMIP5 models exhibit an overall improvement over the CMIP3 models in the simulation of tropical intraseasonal variability, especially the MJO and several CCEWs. The CMIP5 models generally produce larger total intraseasonal (2–128 day) variance of precipitation than the CMIP3 models, as well as larger variances of Kelvin, equatorial Rossby (ER), and eastward inertio-gravity (EIG) waves. Nearly all models have signals of the CCEWs, with Kelvin and mixed Rossby–gravity (MRG) and EIG waves being especially prominent. The phase speeds, as scaled to equivalent depths, are...


Journal of Climate | 2008

The Impacts of Convective Parameterization and Moisture Triggering on AGCM-Simulated Convectively Coupled Equatorial Waves

Jia-Lin Lin; Myong-In Lee; Daehyun Kim; In-Sik Kang; Dargan M. W. Frierson

Abstract This study examines the impacts of convective parameterization and moisture convective trigger on convectively coupled equatorial waves simulated by the Seoul National University (SNU) atmospheric general circulation model (AGCM). Three different convection schemes are used, including the simplified Arakawa–Schubert (SAS) scheme, the Kuo (1974) scheme, and the moist convective adjustment (MCA) scheme, and a moisture convective trigger with variable strength is added to each scheme. The authors also conduct a “no convection” experiment with deep convection schemes turned off. Space–time spectral analysis is used to obtain the variance and phase speed of dominant convectively coupled equatorial waves, including the Madden–Julian oscillation (MJO), Kelvin, equatorial Rossby (ER), mixed Rossby–gravity (MRG), and eastward inertio-gravity (EIG) and westward inertio-gravity (WIG) waves. The results show that both convective parameterization and the moisture convective trigger have significant impacts on...


Journal of the Atmospheric Sciences | 2004

Radiation Budget of the Tropical Intraseasonal Oscillation

Jia-Lin Lin; Brian E. Mapes

Abstract This study examines the relationship between precipitation and radiative heating on intraseasonal time scales in the Tropics using collocated top-of-atmosphere (TOA) and surface radiative flux measurements from special field program data [Atmospheric Radiation Measurement (ARM) Program and Tropical Ocean Global Atmosphere Coupled Ocean–Atmosphere Response Experiment (TOGA COARE) experiments] as well as long-term TOA flux data [from Earth Radiation Budget Experiment (ERBE) and Advanced Very High Resolution Radiometer (AVHRR) satellite data]. All the different datasets consistently show that the atmosphere-integrated radiative heating is nearly in phase with the precipitation and enhances the net condensation heating by about 10%–15%. The dominant contribution to this radiative warming during wet periods is the reduction of TOA outgoing longwave radiation (OLR), primarily by clouds but with a small contribution by water vapor. This radiative heating is reduced slightly by enhanced surface downwelli...


Geophysical Research Letters | 2007

Interdecadal variability of ENSO in 21 IPCC AR4 coupled GCMs

Jia-Lin Lin

20 th Century (20C3M) simulations are analyzed using wavelet analysis. The results show that the state-of-the-art CGCMs display a wide range of skill in simulating the interdecadal variability of ENSO. The 21 models can be categorized into three groups. The first group (8 models) shows an oscillation with a constant period shorter than the observed ENSO period, and sometimes with a constant amplitude. The second group (5 models) does not produce many statistically significant peaks in the ENSO frequency band, but usually produces one or two prominent peaks (episodes) at period longer than 6 years. The third group (8 models) displays significant interdecadal variability of ENSO in both amplitude and period. Among them, only the MPI model reproduces the observed eastward shift of the westerly anomalies in the low-frequency regime. Citation: Lin, J.-L. (2007), Interdecadal variability of ENSO in 21 IPCC AR4 coupled GCMs, Geophys. Res. Lett., 34, L12702,


Journal of Climate | 2011

Sea Surface Temperature Biases under the Stratus Cloud Deck in the Southeast Pacific Ocean in 19 IPCC AR4 Coupled General Circulation Models

Yangxing Zheng; Toshiaki Shinoda; Jia-Lin Lin; George N. Kiladis

AbstractThis study examines systematic biases in sea surface temperature (SST) under the stratus cloud deck in the southeast Pacific Ocean and upper-ocean processes relevant to the SST biases in 19 coupled general circulation models (CGCMs) participating in the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4). The 20 years of simulations from each model are analyzed. Pronounced warm SST biases in a large portion of the southeast Pacific stratus region are found in all models. Processes that could contribute to the SST biases are examined in detail based on the computation of major terms in the upper-ocean heat budget. Negative biases in net surface heat fluxes are evident in most of the models, suggesting that the cause of the warm SST biases in models is not explained by errors in net surface heat fluxes. Biases in heat transport by Ekman currents largely contribute to the warm SST biases both near the coast and the open ocean. In the coastal area, southwestward Ekman curre...


Journal of the Atmospheric Sciences | 2011

Structure of AGCM-Simulated Convectively Coupled Kelvin Waves and Sensitivity to Convective Parameterization

Dargan M. W. Frierson; Daehyun Kim; In-Sik Kang; Myong-In Lee; Jia-Lin Lin

Abstract A study of the convectively coupled Kelvin wave (CCKW) properties from a series of atmospheric general circulation model experiments over observed sea surface temperatures is presented. The simulations are performed with two different convection schemes (a mass flux scheme and a moisture convergence scheme) using a range of convective triggers, which inhibit convection in different ways. Increasing the strength of the convective trigger leads to significantly slower and more intense CCKW activity in both convection schemes. With the most stringent trigger in the mass flux scheme, the waves have realistic speed and variance and also exhibit clear shallow-to-deep-to-stratiform phase tilts in the vertical, as in observations. While adding a moisture trigger results in vertical phase tilts in the mass flux scheme, the moisture convergence scheme CCKWs show no such phase tilts even with a stringent convective trigger. The changes in phase speed in the simulations are interpreted using the concept of “...


Journal of Physical Oceanography | 2008

Dynamics of Intraseasonal Sea Level and Thermocline Variability in the Equatorial Atlantic during 2002–03

Weiqing Han; Peter J. Webster; Jia-Lin Lin; W. T. Liu; Rong Fu; Dongliang Yuan; Aixue Hu

Abstract Satellite and in situ observations in the equatorial Atlantic Ocean during 2002–03 show dominant spectral peaks at 40–60 days and secondary peaks at 10–40 days in sea level and thermocline within the intraseasonal period band (10–80 days). A detailed investigation of the dynamics of the intraseasonal variations is carried out using an ocean general circulation model, namely, the Hybrid Coordinate Ocean Model (HYCOM). Two parallel experiments are performed in the tropical Atlantic Ocean basin for the period 2000–03: one is forced by daily scatterometer winds from the Quick Scatterometer (QuikSCAT) satellite together with other forcing fields, and the other is forced by the low-passed 80-day version of the above fields. To help in understanding the role played by the wind-driven equatorial waves, a linear continuously stratified ocean model is also used. Within 3°S–3°N of the equatorial region, the strong 40–60-day sea surface height anomaly (SSHA) and thermocline variability result mainly from the...


Monthly Weather Review | 2005

Doppler Radar Observations of Mesoscale Wind Divergence in Regions of Tropical Convection

Brian E. Mapes; Jia-Lin Lin

Abstract A simple new analysis method for large single-Doppler radar datasets is presented, using data from several tropical field experiments. A cylindrical grid is chosen, to respect both the geophysical importance of altitude and the radar importance of range and azimuth. Horizontal and temporal fine structure are sacrificed, by compiling data as hourly histograms in 12 × 24 × 36 spatial grid cells of 15° azimuth × 8 km horizontal range × 500 m height, respectively. Mean Doppler radial velocity in each region is automatically unfolded (dealiased) using a simple histogram method, and fed into a velocity–azimuth display (VAD) analysis. The result is a set of hourly horizontal wind and wind divergence profiles, with associated error estimates, for circles of different radii centered on the radar. These divergence profiles contain useful heating profile information in many weather situations, not just occasional cases of uniform widespread rainfall. Consistency of independent estimates for concentric circl...

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Weiqing Han

University of Colorado Boulder

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Yangxing Zheng

National Oceanic and Atmospheric Administration

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Daehyun Kim

University of Washington

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In-Sik Kang

Seoul National University

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Myong-In Lee

Ulsan National Institute of Science and Technology

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Aixue Hu

National Center for Atmospheric Research

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Harley E. Hurlburt

United States Naval Research Laboratory

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