On the Moistening Role of Shallow Convection during the MJO over Manus

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On the Moistening Role of Shallow Convection during the MJO over Manus David Zermeno and Chidong Zhang RSMAS University of Miami collaborations from Pavlos Kollias and Heike Kalesse University of McGill Contact: dzermeno@rsmas.miami.edu

1. Introduction Is moistening from shallow convection particularly important during the MJO? Approach: compare MJO and other types of large-scale convective perturbations (hereafter non-MJOs, Ling et al 2013) What are the characteristics of shallow clouds during the moistening period of MJO and non-MJO episodes? -abundance of precipitating and not-precipitating clouds -rain rates -height

* CloudSat Observations from a super site over Manus KAZR -Millimeter Radar (MMCR and KAZR) observations, soundings, etc * KAZR

Data Millimeter Cloud radar (MMCR) data was binned to a 100 m vertical resolution and a 1 min temporal resolution Soundings (available at 11 and 23 UTC). Results from soundings at 11 UTC are shown*. Soundings were binned to a 100 m vertical resolution Radiometer and rain gauge (optical) data is available in a 1 min resolution Daily TRMM 3B42 rainfall and RMM index All data is available in the period 2001 to 2013** * The RMSE of 11 UTC soundings is lower than that of 23 UTC soundings relative to the mean of 8 time per day soundings **MMCR was replaced by KAZR in March 2011. KAZR data was not used.

Outline of what follows Methods MJO and non-MJO Identification Shallow Cloud Identification Results Summary

MJO and non-MJO Identification Method For each episode, an identification method needs to provide: 1) The global and 2) the local (over Manus) perspective 3) + Precipitation has to be directly involved -RMM (Wheeler and Hendon 2004) provides 1 -TRMM was used for 2 and 3

Domains Local or Manus Domain: 5 by 5 around Manus Manus location MJO domain (73 to 147 in longitude, and 8 to -12 in latitude) MJO and non-MJO episodes are required to produce a comparable rainfall anomaly over the local domain Figure 1. TRMM3B42v7 daily precipitation anomalies during the RMM phases in boreal winter.

Episode Identification Episodes were the daily anomaly* of rainfall was greater than one standard deviation for 3 consecutive days were used -38 episodes during extended boreal winter (Oct-Apr) 1 or 2-day anomalies > 1 3-day anomalies > 1 Only the first peak was considered *5-day running mean was applied

Possible MJO Trajectories associated to each episode Onset over Manus A set of trajectories (3 to 8 m/s) were fitted in Hovmuller diagrams The trajectory with the largest anomalous precipitation is chosen as the possible MJO trajectory Onset over Gan

Episode Evaluation 1) MJO trajectory: Mean anomalous rainfall in the trajectory is larger than the mean of the all trajectories (3.5 mm/hr) 2) RMM: RMM during the trajectory period is continuous and its strength > 1. The RMM* phase was either 4 to 7 during the onset over Manus, and 8, 1, 2 or 3 during the onset over Manus The episode is an MJO if both are true Is Non-MJO if neither condition is satisfied -9 MJOs -15 Non-MJOs *RMM was smoothed by a 5-day running mean All times the RMM condition was satisfied, the trajectory condition was satisfied, but not the other way around

RMM and Rainfall Anomalies Longitude Time Anomalous Composites MJOs Non-MJO Only regions with significance > 95% are shown

Rainfall Anomaly Composites MJOs Only regions with significance > 95% are shown Non-MJOs Rain rate

Shallow Cloud Identification Cloud Classification Table Category Top height Precipitating Sub-classification Convective Shallow < 0C height Precipitating Not precip. Transitional` Congestus >= 0C height < 8 km   Cumulonimbus >= 8 km Stratiform Not precipitating: No precip detected with rain gauge Precipitating: Precip detected with rain gauge Convective: no bright band* and the cloud base is close to the LCL (100 m margin) Stratiform: There is a bright band* *Bright band: either an absolute maximum in reflectivity close to the freezing level or DVG lower than -2 (Geerts et al 2004)

Approach: A rain rate attenuation threshold was estimated Attenuation is an Issue in Cloud Radars Approach: A rain rate attenuation threshold was estimated Data from SPOL and KAZR (Feng et al 2013) during DYNAMO was used to estimate this threshold

The probabilities of a cloud having a rain rate of 25 mm/hr are larger for a “shallow looking” deep cloud than those for a shallow cloud A shallow cloud was re-categorized as deep when its rain rate or that in an adjacent shallow profile exceeds 25 mm/hr 25 mm/hr

Results MSE and Rainfall Anomalies over Manus MJOs Non-MJOs Contours: 95% significance level The 95% significance level is contoured

Time Lag vs Cloud Fraction Composites MJOs Non-MJOs Daily fraction (%) Lag (day) Lag (day)

Normalized Anomalies in Cloud Fraction relative to all Convective Clouds over Manus Shallow Congestus Shallow Precipitating Cb Shallow Not-Precipitating Lag (day) Shallow Cg Lag (day)

MJOs Non-MJOs Standardized Standardized Shallow Cg Cb Day lag Day lag

Summary RMM index is reliable for strong MJOs but not for weak MJOs The pre-onset of MJOs is characterized by more shallow precipitating clouds, less shallow non-precipitating clouds along with a longest and sustained moistening period Rainfall from shallow clouds tends to increase before that of congestus and deep during MJOs but not during non-MJOs Contact: dzermeno@rsmas.miami.edu

Thank you!

References Geerts, Bart, Yu Dawei, 2004: Classification and Characterization of Tropical Precipitation Based on High-Resolution Airborne Vertical Incidence Radar. Part I: Classification. J. Appl. Meteor., 43, 1554–1566. Ling, J., C. Zhang, and P. Bechtold, 2013: Large-Scale Distinctions Between MJO and non-MJO Convective Initiation over the Tropical Indian Ocean. J. Atmos. Sci., accepted. Wheeler, Matthew C., Harry H. Hendon, 2004: An All-Season Real-Time Multivariate MJO Index: Development of an Index for Monitoring and Prediction. Mon. Wea. Rev., 132, 1917–1932. Zhang C., Jian Ling, 2012: Potential Vorticity of the Madden–Julian Oscillation. J. Atmos. Sci., 69, 65–78.

Extra Slide Zonal Wind over Manus Anomalies in Zonal Wind over Manus