2026 Accumulated Cyclone Energy [ACE]

  Basin   Current YTD   Normal YTD % of Normal YTD Yearly Climo* 2025**
  Northern Hemisphere   75.3675   64 117% 575 461
  Western N Pacific   71.28   42 169% 298 188
  Eastern + Cent N Pac   3.6825   13 28% 132 118
  North Atlantic   0.405   1 40% 122 136
  North Indian   0   7 0% 23 9
  Southern Hemisphere   214.203   209 102% 205 256
  Global   227.0425   236 96% 780 736

*Yearly climatology from historical 1991-2020 Tropical cyclone best track datasets
**Preliminary values from real-time ATCF advisories and will become final when best-tracks are available from JTWC and NHC after post-season analysis Small differences have been found in previous years between real-time and best-track ACE.
Southern Hemisphere Year-To-Date represents October 2025 - May 2026 activity


Please consider supporting this work by subscribing to Weather Trader Substack

Hurricanes and Climate Change

Around the globe, 80-100 tropical storms are observed every year unevenly distributed across the Indian, Pacific, and Atlantic oceans. About half go on to reach hurricane strength and a smaller percentage, about 1/4 become major hurricanes. The generic term tropical cyclone can be used to describe tropical storms, hurricanes and typhoons. While most tropical cyclones complete their lifecycle without impacting land, there are many each year that cause catastrophic damage and loss of life to coastal nations including the United States.

While this statement focuses on the Atlantic Ocean basin, much of the information can be applied to the other ocean basins in a general sense. We present the most up-to-date information on how climate change is expected to impact hurricanes in the future. There are two complementary lines of evidence used to diagnose climate change effects upon hurricanes including (1) historical records of observed activity and (2) computer modeling. Many scientists have dedicated their careers to improve the understanding of hurricanes and published countless papers that help inform the scientific consensus: From the NOAA GFDL website (Link) : "In summary, it is premature to conclude with high confidence that increasing atmospheric greenhouse gas concentrations from human activities have had a detectable impact on Atlantic basin hurricane activity, although increasing greenhouse gases are strongly linked to global warming... Human activities may have already caused other changes in tropical cyclone activity that are not yet detectable due to the small magnitude of these changes compared to estimated natural variability, or due to observational limitations."

Regardless of the scientific ability to conclude confidently in every impact of climate change on hurricanes, they will continue to occur and devastate rapidly growing coastal regions. The only proven and practical way to prevent loss of life and property damage is to prepare ahead with improved building codes and maintain a high level of vigilance and resilience in the face of natural disasters. This includes more accurate intensity and track forecasting through advanced numerical weather prediction or weather models.

Note that lack of evidence does NOT mean absence of evidence. It means we currently have incomplete knowledge or inadequate methods and/or observations. We can still have medium to high confidence in an expected outcome based upon fundamental understanding of physics and fluids.


Peer-Reviewed Literature & Graphics

Recent historically low global tropical cyclone activity: Geophys. Res. Lett. (2011), Abstract:
Tropical cyclone accumulated cyclone energy (ACE) has exhibited strikingly large global interannual variability during the past 40-years. In the pentad since 2006, Northern Hemisphere and global tropical cyclone ACE has decreased dramatically to the lowest levels since the late 1970s. Additionally, the frequency of tropical cyclones has reached a historical low. Here evidence is presented demonstrating that considerable variability in tropical cyclone ACE is associated with the evolution of the character of observed large-scale climate mechanisms including the El Nino Southern Oscillation and Pacific Decadal Oscillation. In contrast to record quiet North Pacific tropical cyclone activity in 2010, the North Atlantic basin remained very active by contributing almost one-third of the overall calendar year global ACE.

Figure: Global Hurricane Frequency (all & major) -- 12-month running sums. The top time series is the number of global tropical cyclones that reached at least hurricane-force (maximum lifetime wind speed exceeds 64-knots). The bottom time series is the number of global tropical cyclones that reached major hurricane strength (96-knots+). Adapted from Maue (2011) GRL.


Figure: Last 50-years+ of Global and Northern Hemisphere Accumulated Cyclone Energy: 24 month running sums. Note that the year indicated represents the value of ACE through the previous 24-months for the Northern Hemisphere (bottom line/gray boxes) and the entire global (top line/blue boxes). The area in between represents the Southern Hemisphere total ACE.

Figure: Last 50-years+ of Global Tropical Storm and Hurricane frequency -- 12-month running sums. The top time series is the number of TCs that reach at least tropical storm strength (maximum lifetime wind speed exceeds 34-knots). The bottom time series is the number of hurricane strength (64-knots+) TCs.
Figure: Last 4-decades of Global Tropical Storm and Hurricane Accumulated Cyclone Energy -- Annual totals. The Southern Hemisphere tropical cyclone season occurs from July-June each calendar year. The graph is constructed such that SH annual value for July 2014 - July 2015 is positioned in 2015.

 

Global Tropical Cyclone Activity
Dr. Ryan N. Maue

Follow @RyanMaue
Updated: Jun 30, 2026 13:00

Storm Stats File + Max Intensity | ACE

2026 North Atlantic Basin
Arthur 01L (40, ACE=0.405, June)
2026 Eastern North Pacific
Amanda 01E (50, ACE=1.7425, June)
Boris 02E (40, ACE=0.725, June)
Cristina 03E (40, ACE=1.215, June)
2026 Western North Pacific
NOKEAN 01W (50, ACE= 2.285, Jan)
PENHA 02W (40, ACE= 1.5, Feb)
NURI 03W (30, ACE= 0.0, Mar)
SINLAKU 04W (155, ACE= 40.625, Apr)
HAGUPIT 05W (40, ACE= 1.79, May)
JANGMI 06W (75, ACE= 7.9975, May)
MEKKHALA 07W (125, ACE= 14.345*, Jun)
HIGOS 08W (35, ACE= 0.245*, Jun)
2025-2026 Southern Hemisphere
ONE 01S (35, ACE= 0.98, July)
AWO 02S (35, ACE= 0.6125, Aug)
BLOSSOM 03S (35, ACE= 1.3475, Sep)
CHENGE 04S (60, ACE= 6.7875, Oct)
FINA 05S (110, ACE= 16.22, Nov)
SIX 06 (40, ACE= 0.8475, Dec)
BAKUNG 07S (80, ACE= 5.6625, Dec)
EIGHT 08S (80, ACE= 5.6625, Dec)
GRANT 09S (110, ACE= 24.265*, Dec)
HAYLEY 10S (90, ACE= 5.165, Dec)
IGGY 11S (45, ACE= 1.1725, Dec)
JENNA 12 (90, ACE= 5.9975, Jan)
KOJI 13 (45, ACE= 0.6875, Jan)
DUDZAI 14 (125, ACE= 26.8825, Jan)
EWETSE 15 (50, ACE= 0.735, Jan)
TS 16 (40, ACE= 1.045, Jan)
LUANA 17 (*, ACE= *, Jan)
TS 18 (*, ACE= *, Jan)
FYTIA(100, ACE= *, Jan)
MITCHELL 20 (80, ACE= 4.7625, Feb)
GEZANI 21 (110, ACE= 20.9, Feb)
HORACIO 22 (140, ACE= 15.1325, Feb)
URMIL 23 (65, ACE= 4.135, Feb)
TS 24 (35, ACE= 0.49, Mar)
TS 25 (40, ACE= 0.81, Mar)
TS 26 (35, ACE= 1.1025, Mar)
NARELLE 27 (125, ACE= 27.4025, Mar)
TS 28 (45, ACE= 1.05, Mar)
INDUSA 29 (90, ACE= 6.1, Apr)
MAILA 30 (125, ACE= 20.3, Apr)
VAIANU 31 (100, ACE= 10.89, Apr)
2025 North Atlantic Basin
Andrea 01L (35, ACE=0.735, June)
Barry 02L (40, ACE=0.405, June)
Chantal 03L (50, ACE=0.815, July)
Dexter 04L (45, ACE=2.4675, Aug)
Erin 05L (140, ACE=32.1975, Aug)
Fernand 06L (50, ACE=3.3725, Aug)
Gabrielle 07L (120, ACE=20.0475, Sep)
Humberto 08L (140, ACE=26.6875, Sep)
Imelda 09L (85, ACE=7.0125, Sep)
Jerry 10L (55, ACE=4.1075, Oct)
Karen 11L (40, ACE=0.64, Oct)
Lorenzo 12L (50, ACE=1.9975, Oct)
Melissa 13L (155, ACE=35.0175, Oct)
2025 Eastern North Pacific
Alvin 01E (50, ACE=1.465, May)
Barbara 02E (65, ACE=3.1025, June)
Cosme 03E (60, ACE=2.7775, June)
Dalila 04E (55, ACE=2.175, June)
Erick 05E (125, ACE=6.5475, June)
Flossie 06E (100, ACE=8.1075, June)
Gil 07E (65, ACE=4.125, July)
Henriette 08E (75, ACE=8.105*, Aug)
Ivo 09E (55, ACE=3.405, Aug)
Juliette 10E (60, ACE=2.9975, Aug)
Kiko 11E (125, ACE=26.085*, Aug)
Lorena 12E (75, ACE=3.7975, Sep)
Mario 13E (55, ACE=2.1075, Sep)
Narda 14E (90, ACE=14.30, Sep)
Octave 15E (70, ACE=9.0775, Sep)
Priscilla 16E (95, ACE=10.3075, Oct)
Raymond 17E (50, ACE=1.5075, Oct)
Sonia 18E (45, ACE=2.6225, Oct)
2025 Central North Pacific
Iona 01C (110, ACE=9.185, July)
Keli 02C (35, ACE=0.98, July)
2025 Western North Pacific
WUTIP 01W (65, ACE= 3.1775, June)
SEPAT 02W (40, ACE= 0.895, June)
THREE 03W (30, ACE= 0.0, June)
MUN 04W (60, ACE= 5.015, July)
DANAS 05W (90, ACE= 5.2, July)
NARI 06W (50, ACE= 1.9925, July)
SEVEN 07W (30, ACE= 0.0, July)
EIGHT 08W (40, ACE= 0.4425, July)
WIPHA 09W (65, ACE= 4.185, July)
FRANCISCO 10W (40, ACE= 1.29, July)
CO-MAY 11W (70, ACE= 4.4675, July)
KROSA 12W (80, ACE= 9.4375, July)
BAILU 13W (35, ACE= 0.735, July)
14W (30, ACE= 0.0, Aug)
15W (30, ACE= 0.0, Aug)
PODUL 16W (90, ACE= 8.095*, Aug)
17W (30, ACE= 0.0, Aug)
LINGLING 18W (40, ACE= 0.645, Aug)
KAJIKI 19W (95, ACE=6.48, Aug)
NONGFA 20W (40, ACE=0.32, Aug)
PEIPAH 21W (50, ACE=1.1025, Sep)
TAPAH 22W (65, ACE=1.5975, Sep)
MITAG 23W (45, ACE=0.8475, Sep)
RAGASA 24W (145, ACE=27.7025, Sep)
NEOGURI 25W (125, ACE=27.2625, Sep)
BUALOI 26W (80, ACE=7.915, Sep)
MATMO 27W (90, ACE=7.055, Oct)
HALONG 28W (120, ACE=16.515, Oct)
NAKRI 29W (75, ACE=7.25, Oct)
FENGSHEN 30W (50, ACE=3.0475, Oct)
KALMAEGI 31W (115, ACE=12.36, Nov)
FUNG-WONG 32W (115, ACE=14.5375, Nov)
KOTO 33W (80, ACE=3.0475, Nov)
34W (30, ACE=0.0, Dec)
2025 Northern Indian Ocean
ONE 01A (35, ACE= 0.6125, Oct)
SHAKHTI 02A (75, ACE= 4.4325, Oct)
MONTHA 03 (45, ACE= 1.8975, Oct)
SENYAR 04 (45, ACE= 0.7725, Nov)
DITWAH 05 (35, ACE= 1.3475, Nov)


 

Citations

Maue, R. N. (2011), Recent historically low global tropical cyclone activity. , Geophys. Res. Letts. VOL. 38, L14803, 6 PP., 2011 doi:10.1029/2011GL047711 paper PDF

Maue, R. N. (2009), Northern Hemisphere Tropical Cyclone Activity, Geophys. Res. Letts. paper PDF

Weinkle, J., R. N. Maue, R. Pielke Jr. (2012), Historical global tropical cyclone landfalls. J. Climate (Abstract). PDF in press

Maue, R. N. and R. E. Hart (2007), Comment on "Low Frequency variability in globally intergrated tropical cyclone power dissipation". Geophys. Res. Letts. VOL. 34, L11703, DOI: 10.1029/2006GL028283 Download

Hart, R. E., R. N. Maue, and M. C. Watson (2007), Estimating Local Memory of Tropical Cyclones through MPI Anomaly Evolution. Mon. Wea. Rev, 135, 3990-4005. Paper Link

Copyright © 2017 Dr. Ryan N. Maue

Contact Us:   @RyanMaue Twitter
Atlanta Georgia

MAINTAINED BY DR. RYAN N. MAUE