University of Maryland

Global Precipitation Summary for November 2024

Headlines

La Nina rainfall anomaly pattern evident across tropics from Indian Ocean to Americas

 

Floods and landslides across Maritime Continent, Philippines, Sri Lanka and Australia related to effects of this weak La Nina.

 

Drought conditions along U.S. east coast lead to wildfires

Weak La Nina features are evident in the tropical Pacific for November 2024 with the Nino 3.4 SST index for the month slightly negative at about -0.3C and the precipitation anomaly pattern for the month showing some aspects of a typical La Nina. Figure 1 shows the global precipitation map for November 2024, the precipitation anomaly from climatology for the month and the composite La Nina anomaly map for November.  The strong negative anomaly feature along the Equator at about 160°E in the middle panel is similar in location to that in the composite La Nina figure with a narrow fragmented negative feature extending to the east, almost to the coast of the Americas, above the Equator.  To the north of that feature is a variable positive anomaly paralleling the narrow negative feature, indicating a slight northward displacement of the ITCZ.  In the Pacific, further south the anomaly features for this month and the composite also show some correspondence over the mid-latitudes.

 

Further west over the Maritime Continent, the Philippines and the eastern Indian Ocean, a large area of positive rain anomalies existed in November (Fig. 1, middle panel), again consistent with the La Nina composite.  Tropical cyclones contributed to this large-scale feature significantly, especially in the region of the Philippines.  At one point in the middle of the month four tropical cyclones were prowling the western Pacific and South China Sea, apparently a record for November. When these storms hit land they caused heavy rains and floods, for example in the Philippines.  Flooding and landslides from a weak tropical system also hit northeast Sri Lanka causing 12 deaths and continuing into southeast India.  At the very end of the month heavy rains caused havoc in very southern Thailand and Malaysia.  Even in the South Indian Ocean a tropical cyclone tracked across the area.  And Australia was largely covered by positive rainfall anomalies with heavy rains and flooding in parts of Queensland.  The effect of the large-scale La Nina circulation certainly contributed to the enhanced rainfall in this large region and these accompanying smaller-scale disasters.

 

Even further west the western Indian Ocean and the Horn of Africa are dry, again matching the La Nina composite.  Otherwise the pattern over Africa with positive anomalies over the tropical eastern portion, with landslides in Uganda, is not seemingly connected to La Nina. The overall pattern correlation between this month’s anomaly pattern and the La Nina composite increased a bit for November, but remained positive, but weak (see Fig. 2).

 

Figure 1. Monthly precipitation and anomalies in November 2024 and La Nina composite for November.
Figure 1. Monthly precipitation and anomalies in November 2024 and La Nina composite for November.
Figure 2. Correlations between anomaly patterns of individual months (40oN-40oS) and El Nino and La Nina composites during December 2023-November 2024.
Figure 2. Correlations between anomaly patterns of individual months (40oN-40oS) and El Nino and La Nina composites during December 2023-November 2024.

Western Europe is also drier than normal, although Malaga, Spain, along the south coast, suffered a flash flood, possibly linked to the very warm waters of the Mediterranean.  Central America and the Caribbean have positive anomalies, partly associated with late season tropical cyclones, along with a dry Mexico and southwest U.S., all similar to the typical La Nina pattern. 

 

The central and northwest U.S. were wetter than normal, but the east coast from Florida to Maine was relatively dry and on the edge of drought, with non-typical wildfires in Maryland, New Jersey and New York.

 

Despite the ongoing weak La Nina, Fig. 3 shows global surface temperatures above the trend line and the global precipitation (land + ocean) above the long-term mean. Table 1 shows that the overall positive anomaly is primarily coming from the anomaly over land, typical of La Nina conditions.

Figure 3. Monthly time series of GPCP global (land+ocean) precipitation anomalies (January 1983-November 2024) and GISS global mean temperature anomalies (January 1983-October 2024).
Figure 3. Monthly time series of GPCP global (land+ocean) precipitation anomalies (January 1983-November 2024) and GISS global mean temperature anomalies (January 1983-October 2024).

Table 1 Global precipitation and anomalies in November 2024.

 

 

Mean Precipitation

(November 1983-2023)

Precipitation

(November 2024)

Precipitation anomaly

(November 2024)

Land+ocean

2.80

2.87

+0.07

Land

2.05

2.25

+0.20

Ocean

3.11

3.13

+0.02

 

Picture of Dr. Robert Adler

Dr. Robert Adler

Robert Adler’s research at ESSIC/UMD focuses on the analysis of precipitation observations from space on global and regional scales, examining precipitation variations on inter-annual to climate-trend scales. He came to ESSIC in 2008 after a 35-year career at NASA’s Goddard Space Flight Center where he served as NASA’s Tropical Rainfall Measuring Mission (TRMM) Project Scientist from 2000-2007, in addition to holding other research and management positions. He has also led, and is still involved with, the Global Precipitation Climatology Project (GPCP) and is one of the developers of the TRMM Multi-satellite Precipitation Analysis (TMPA), the original microwave multi-satellite precipitation analysis. He also led efforts to study and monitor precipitation extremes and associated floods and landslides on a global scale. Dr. Adler has published over 180 papers in scientific journals on these topics. He is a Fellow of the American Meteorological Society and has received NASA Goddard’s William Nordberg Award for Earth Science and NASA Medals for Outstanding Leadership and for Exceptional Scientific Achievement. He received his B.S. and M.S. from Penn State and his Ph.D. from Colorado State University.

Picture of Dr. Guojun Gu

Dr. Guojun Gu

Guojun Gu’s research at ESSIC/UMD focuses on analyzing and exploring global precipitation variations and changes on interannual/interdecadal to climate-trend scales by means of satellite-based observations and climate model outputs. Dr. Gu has published over 60 papers in the field. He received his B.S. from Nanjing University and his Ph.D. from University of Miami.