diagnosing the atmospheric/oceanic phenomena associated ... · i. introduction...

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I. INTRODUCTION Rainfall plays a crucial role in the food security and economies of Mexico and Central America (Mesoamerica). This research aims to compare methods of defining the Mesoamerican rainy season’s onset, demise and mid-summer drought (MSD). The relevance of this work is related to the key crops grown in this region: coffee, bananas, corn, and rice. These crops rely heavily on the timing and intensity of rainfall. The goal of this research is to link the physical and dynamical mechanisms that cause the Mesoamerican rainy season and MSD in order to better understand the phenomenology and predictability of Mesoamerican rainfall and ensure the health and safety of these key crops. POSTER TITLE Diagnosing the Atmospheric/Oceanic Phenomena Associated with the Onset, Demise and Mid-Summer Drought of the Rainy Season in Mesoamerica Danielle Groenen 1 and Mark A. Bourassa 1 1 Florida State University, Tallahassee, FL and the Center for Ocean-Atmospheric Prediction Studies A21F-2222 II. DATA To calculate the onset/demise/MSD characteristics of the rainy season, rainfall data (given in mm/day) is used from the Climate Prediction Center (CPC) Unified Gauge-Based Analysis of Global Daily Precipitation (Xie et al. 2007). For each method, the rainfall is area-averaged over the Mesoamerican domain, which is 7-28 ºN and 77-109 ºW. The Climate Prediction Center Unified Gauge-Based Analysis of Global Daily Precipitation (hereafter CPC-Uni) is a retrospective dataset available daily from January 1, 1979 through December 31, 2005, on a global scale and only covers land area rainfall. The grid spacing is 0.5º by 0.5º. Other meteorological components are taken from the second Modern-Era Retrospective analysis for Research and Applications (MERRA-2; Molod et al. 2015). MERRA-2 is a NASA product available from January 1, 1980 until present. The grid spacing is 0.625º longitude by 0.5º latitude. This corresponds to a 50km grid spacing in the latitudinal direction. For this study, the quantities used from MERRA-2 were daily eastward winds (m/s) at 925mb and temperature (K). These quantities were used to analyze atmospheric conditions prior to and around the time of onset, in order to determine the atmospheric precursors that foreshadow the onset. III. ALGORITHMS TO DEFINE ONSET/DEMISE a. MINCA b. THRESH c. SLOPE MINCA and THRESH represent the period of heavy rains, whereas SLOPE represents the period of sudden increased/decreased rain. The onset and demise of SLOPE define a broader period than for MINCA and THRESH. IX. ACKNOWLEDGEMENTS This work is funded by the NASA Earth and Space Science Fellowship, project number NNX15AM67H. The authors would like to thank Drs. Huikyo Lee, Carlos Mechoso, Duane Waliser, and Vasu Misra for their help in this work. V. MID-SUMMER DROUGHT In order to identify the MSD, a smoothing technique is applied to the daily, area-averaged rainfall, same as the technique used in the SLOPE method. The start and end of the MSD are both characterized by an increasing slope (or near zero slope) followed by a negative slope. There are two peaks of rainfall, with a reduction in rainfall in between. This typically occurs in July/August, but does not necessarily show up each year for this dataset. Years with the MSD: 1981, 1984, 1986, 1988, 1990, 1991, 1993, 1994, 1997, 1998, 1999, 2002, 2003 Years without the MSD: 1979, 1980, 1982, 1983, 1985, 1987, 1989, 1992, 1995, 1996, 2000, 2001, 2004, 2005 VIII. CONCLUSIONS Precursors of light rainfall (SLOPE): Cold surge event occurring approximately 16 days before the onset of the rainfall. A week before through a week post-onset, warm temperature anomalies dominate. Further work needs to be done to analyze the physical and dynamic mechanisms contributing to the cold-surge event. Precursors of heavy rainfall (MINCA and THRESH): Monsoon trough moving northward into the Mesoamerican domain, starting 6 days prior to onset. 8 days post onset, westerly winds dominate the Pacific side of the domain. The size and intensity of the CLLJ may be involved in the evolution of the rainfall somehow and needs to be further investigated. IV. INTERANNUAL VARIABILITY OF ONSET/DEMISE DATES Fig. 4. Interannual variability of (a.) onset and (b.) demise dates for the 27 years of the CPC-Uni dataset from 1979-2005. MINCA (blue squares), THRESH (green triangles), and SLOPE (red circles) methods are compared. (a.) (b.) VI. PRECURSORS TO LIGHT RAINFALL Fig. 6. Climatology of the de- seasonalized temperature anomalies at the 925mb pressure level 20 days before through 18 days after the climatological onset of the light rain using the SLOPE method. Red represents warm temperature anomalies whereas blue represents cold temperature anomalies. Fig. 5. Climatology of rainfall (mm/day) evolution 20 days before through 18 days after the climatological onset using the SLOPE method. This represents the start of the light rainfall in this region. VII. PRECURSORS TO HEAVY RAINFALL Fig. 7. Climatology of rainfall (mm/day) evolution 20 days before through 18 days after the climatological onset using the MINCA method. This represents the start of heavy rainfall in this region. Fig. 8. Climatology of u-winds (m/s) at 925mb (from MERRA-2 Reanalysis) 20 days before through 18 days after the climatological onset using the MINCA method. Positive values indicate westerly and negative values indicate easterly winds. The black line denotes the monsoon trough. The Caribbean Low Level Jet (CLLJ) is outlined in black dashed line. Fig. 1. The MINCA method (Liebmann et al. 2007) defines the onset as the minimum of the the daily cumulative anomalies (red line). The demise is the maximum of the daily cumulative anomalies. The daily cumulative anomalies are found by subtracting the climatological rainfall value from the daily rainfall amount and then adding them throughout the year. Fig. 2. The THRESH method (Nakaegawa et al. 2015 ) defines the onset as the first pentad that exceeds 3 mm/day for its mean area-averaged rainfall, with three consecutive pentads above 3 mm/day. The demise is the opposite, with the first of three pentads with area-averaged rainfall below 3 mm/day. Fig. 3. The SLOPE method smooths the daily rainfall using a 20 day running mean (thick green line), and then calculates the slope of every 5 days. The onset is defined as the date when the slope is greater than or equal to 0.01 for at least 10 consecutive days. The demise is defined as the end date when the slope is less than or equal to -0.01 for at least 14 consecutive days, after Julian Day 245. X. REFERENCES Liebmann B, Camargo SJ, Seth A, Marengo JA, Carvalho LMV, Allured D, Fu R, Vera CS., 2007: Onset and end of the rainy season in South America in observations and the ECHAM 4.5 atmospheric general circulation model. J. Climate, 20: 2037–2050. Molod A M, Takacs L L, Suarez M and Bacmeister J, 2015: Development of the GEOS-5 atmospheric general circulation model: evolution from MERRA to MERRA2, Geosci. Model Dev,. 8: 1339–56. Nakaegawa T, Arakawa O, Kamiguchi K., 2015: Investigation of climatological onset and withdrawal of the rainy season in Panama based on a daily gridded precipitation dataset with a high horizontal resolution. J. Climate., 28: 2745–2763. Xie, P., A. Yatagai, M. Chen, T. Hayasaka, Y. Fukushima, C. Liu, and S. Yang, 2007: A gauge-based analysis of daily precipitation over East Asia, J. Hydrometeorol., 8: 607-626.

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Page 1: Diagnosing the Atmospheric/Oceanic Phenomena Associated ... · I. INTRODUCTION RainfallplaysacrucialroleinthefoodsecurityandeconomiesofMexicoandCentralAmerica (Mesoamerica

I. INTRODUCTIONRainfall plays a crucial role in the food security and economies of Mexico and Central America(Mesoamerica). This research aims to compare methods of defining the Mesoamerican rainy season’sonset, demise and mid-summer drought (MSD). The relevance of this work is related to the key cropsgrown in this region: coffee, bananas, corn, and rice. These crops rely heavily on the timing andintensity of rainfall. The goal of this research is to link the physical and dynamical mechanisms thatcause the Mesoamerican rainy season and MSD in order to better understand the phenomenologyand predictability of Mesoamerican rainfall and ensure the health and safety of these key crops.

POSTER TITLEDiagnosing the Atmospheric/Oceanic Phenomena Associated with the Onset, Demise and Mid-Summer Drought of the Rainy Season in Mesoamerica

Danielle Groenen1 and Mark A. Bourassa1

1Florida State University, Tallahassee, FL and the Center for Ocean-Atmospheric Prediction Studies

A21F-2222

II. DATATo calculate the onset/demise/MSD characteristics of the rainy season, rainfall data (given inmm/day) is used from the Climate Prediction Center (CPC) Unified Gauge-Based Analysis of GlobalDaily Precipitation (Xie et al. 2007). For each method, the rainfall is area-averaged over theMesoamerican domain, which is 7-28 ºN and 77-109 ºW. The Climate Prediction Center UnifiedGauge-Based Analysis of Global Daily Precipitation (hereafter CPC-Uni) is a retrospective datasetavailable daily from January 1, 1979 through December 31, 2005, on a global scale and only coversland area rainfall. The grid spacing is 0.5º by 0.5º.

Other meteorological components are taken from the second Modern-Era Retrospective analysis forResearch and Applications (MERRA-2; Molod et al. 2015). MERRA-2 is a NASA product availablefrom January 1, 1980 until present. The grid spacing is 0.625º longitude by 0.5º latitude. Thiscorresponds to a 50km grid spacing in the latitudinal direction. For this study, the quantities usedfrom MERRA-2 were daily eastward winds (m/s) at 925mb and temperature (K). These quantitieswere used to analyze atmospheric conditions prior to and around the time of onset, in order todetermine the atmospheric precursors that foreshadow the onset.

III. ALGORITHMS TO DEFINE ONSET/DEMISEa. MINCA

b. THRESH

c. SLOPE

• MINCA and THRESH represent the period of heavy rains, whereas SLOPE represents the periodof sudden increased/decreased rain. The onset and demise of SLOPE define a broader period thanfor MINCA and THRESH.

IX. ACKNOWLEDGEMENTS This work is funded by the NASA Earth and Space Science Fellowship, project numberNNX15AM67H. The authors would like to thank Drs. Huikyo Lee, Carlos Mechoso, DuaneWaliser, and Vasu Misra for their help in this work.

V. MID-SUMMER DROUGHTIn order to identify the MSD, a smoothing technique is applied to the daily, area-averaged rainfall,same as the technique used in the SLOPE method. The start and end of the MSD are bothcharacterized by an increasing slope (or near zero slope) followed by a negative slope. There are twopeaks of rainfall, with a reduction in rainfall in between. This typically occurs in July/August, butdoes not necessarily show up each year for this dataset.

Years with the MSD: 1981, 1984, 1986, 1988, 1990, 1991, 1993, 1994, 1997, 1998, 1999, 2002,2003

Years without the MSD: 1979, 1980, 1982, 1983, 1985, 1987, 1989, 1992, 1995, 1996, 2000,2001, 2004, 2005

VIII. CONCLUSIONSPrecursors of light rainfall (SLOPE):• Cold surge event occurring approximately 16 days before the onset of the rainfall.• A week before through a week post-onset, warm temperature anomalies dominate.• Further work needs to be done to analyze the physical and dynamic mechanisms contributing

to the cold-surge event.

Precursors of heavy rainfall (MINCA and THRESH):• Monsoon trough moving northward into the Mesoamerican domain, starting 6 days prior to

onset.• 8 days post onset, westerly winds dominate the Pacific side of the domain.• The size and intensity of the CLLJ may be involved in the evolution of the rainfall somehow

and needs to be further investigated.

IV. INTERANNUAL VARIABILITY OF ONSET/DEMISE DATES

Fig. 4. Interannual variability of (a.) onset and (b.) demise dates for the 27 years of the CPC-Unidataset from 1979-2005. MINCA (blue squares), THRESH (green triangles), and SLOPE (redcircles) methods are compared.

(a.) (b.)

VI. PRECURSORS TO LIGHT RAINFALL

Fig. 6. Climatology of the de-seasonalized temperature anomaliesat the 925mb pressure level 20 daysbefore through 18 days after theclimatological onset of the light rainusing the SLOPE method. Redrepresents warm temperatureanomalies whereas blue representscold temperature anomalies.

Fig. 5. Climatology of rainfall(mm/day) evolution 20 days beforethrough 18 days after theclimatological onset using the SLOPEmethod. This represents the start of thelight rainfall in this region.

VII. PRECURSORS TO HEAVY RAINFALLFig. 7. Climatology of rainfall(mm/day) evolution 20 days beforethrough 18 days after theclimatological onset using theMINCA method. This represents thestart of heavy rainfall in this region.

Fig. 8. Climatology of u-winds (m/s)at 925mb (from MERRA-2Reanalysis) 20 days before through 18days after the climatological onsetusing the MINCA method. Positivevalues indicate westerly and negativevalues indicate easterly winds. Theblack line denotes the monsoontrough. The Caribbean Low Level Jet(CLLJ) is outlined in black dashedline.

Fig. 1. The MINCA method (Liebmannet al. 2007) defines the onset as theminimum of the the daily cumulativeanomalies (red line). The demise is themaximum of the daily cumulativeanomalies. The daily cumulativeanomalies are found by subtracting theclimatological rainfall value from the dailyrainfall amount and then adding themthroughout the year.

Fig. 2. The THRESH method (Nakaegawa et al.2015 ) defines the onset as the first pentad thatexceeds 3 mm/day for its mean area-averagedrainfall, with three consecutive pentads above 3mm/day. The demise is the opposite, with thefirst of three pentads with area-averaged rainfallbelow 3 mm/day.

Fig. 3. The SLOPE method smooths the dailyrainfall using a 20 day running mean (thick greenline), and then calculates the slope of every 5 days.The onset is defined as the date when the slope isgreater than or equal to 0.01 for at least 10consecutive days. The demise is defined as the enddate when the slope is less than or equal to -0.01for at least 14 consecutive days, after Julian Day245.

X. REFERENCESLiebmann B, Camargo SJ, Seth A, Marengo JA, Carvalho LMV, Allured D, Fu R, Vera CS., 2007: Onset and end of the rainy season in South America in observations and the ECHAM 4.5 atmospheric general circulation model. J. Climate, 20: 2037–2050.Molod A M, Takacs L L, Suarez M and Bacmeister J, 2015: Development of the GEOS-5 atmospheric general circulation model: evolution from MERRA to MERRA2, Geosci. Model Dev,. 8: 1339–56.Nakaegawa T, Arakawa O, Kamiguchi K., 2015: Investigation of climatological onset and withdrawal of the rainy season in Panama based on a daily gridded precipitation dataset with a high horizontal resolution. J. Climate., 28: 2745–2763.Xie, P., A. Yatagai, M. Chen, T. Hayasaka, Y. Fukushima, C. Liu, and S. Yang, 2007: A gauge-based analysis of daily precipitation over East Asia, J. Hydrometeorol., 8: 607-626.