What is the difference between weather and climate?

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1. 1

   Predictability of Weather and Climate

   Earth and Space Science (Krishnamurthy)Published Jul 1, 2019Checked Oct 11, 2026

   “The past developments in the predictability of weather and climate are discussed from the point of view of nonlinear dynamical systems. The problems ahead for long-range predictability extending into the climate time scale are also presented. The sensitive dependence of chaos on initial conditions and the imperfections in the models limit reliable predictability of the instantaneous state of the weather to less than 10 days in present-day operational forecasts. The existence of slowly varying components such as the sea surface temperature, soil moisture, snow cover, and sea ice may provide basis for predicting certain aspects of climate at long range. The regularly varying nonlinear oscillations, such as the Madden-Julian Oscillation, monsoon intraseasonal oscillations, and El Niño-Southern Oscillation, are also possible sources of extended-range predictability at the climate time scale. A prediction model based on phase space reconstruction has demonstrated that monsoon intraseasonal oscillation can be better predicted at long leads.”

2. 2

   Bridging the weather and climate divide with artificial intelligence.

   Nature communications (Camps-Valls et al.)Published Aug 18, 2026Checked Oct 11, 2026

   “Weather and climate shape every aspect of our lives, yet for decades they have been studied as separate worlds-one concerned with what happens tomorrow, the other with what awaits us over the coming decades. This long-standing divide has slowed progress in both fields. Here, we argue that artificial intelligence (AI) is helping to dissolve the boundary between them. By learning directly from vast streams of Earth observations, AI is starting to predict both tomorrow's storm and next century's climate within a single, unified framework. We show how this convergence is already underway, why weather and climate science have much to gain from each other, and what still stands in the way-from trust, transparency, and fairness to the energy cost of computation and the risk of widening global inequalities. Realizing this vision will demand not only better algorithms but a new culture of collaboration across scientific communities, operational centers, fields and disciplines. Done well, a unified, AI-driven Earth science could deliver faster, more reliable, and more actionable predictions-helping societies anticipate and adapt to a rapidly warming planet.”

3. 3

   Machine Learning Methods in Weather and Climate Applications: A Survey

   Applied Sciences (Chen et al.)Published Nov 3, 2023Checked Oct 11, 2026

   “In this context, the need for accurate and timely forecasting is highly significant. Machine learning has the potential to improve the accuracy and speed of weather and climate prediction. This comprehensive survey assesses the efficacy of Machine Learning (ML) and Machine Learning-Enhanced (ML-Enhanced) methodologies in short-term weather forecasting and medium-to-long-term climate prediction. Acknowledging the historical importance of weather and climate prediction as crucial tools affecting human life and societal functions, the paper scrutinizes over 20 methods, highlighting six that appear to be at the forefront of ML applications in meteorological forecasting. While ML shows promising results in short-term weather prediction, its role remains supplementary in medium-to-long-term climate forecasting due to the complexity of climate conditions and limited data samples. The study finds ML to be fast, scalable, and relatively accurate; however, traditional methods remain indispensable, particularly for medium-to-long-term forecasts, where understanding the mechanisms of meteorological changes is pivotal.”

4. 4

   Weather and Climate Extreme Events in a Changing Climate

   Cambridge University Press eBooks (Change)Published Jun 28, 2023Checked Oct 11, 2026

   “loods, river floods, droughts, storms (including tropical cyclones), as well as compound events (multivariate and concurrent extremes).The assessment focuses on land regions excluding Antarctica.Changes in marine extremes are addressed in Chapter 9 and Cross-Chapter Box 9.1.Assessments of past changes and their drivers are from 1950 onward, unless indicated otherwise.Projections for changes in extremes are presented for different levels of global warming, supplemented with information for the conversion to emissions scenario-based projections (Cross-Chapter Box 11.1 and Table 4.2).Since the IPCC Fifth Assessment Report (AR5), there have been important new developments and knowledge advances on changes in weather and climate extremes, in particular regarding human influence on individual extreme events, on changes in droughts, tropical cyclones, and compound events, and on projections at different global warming levels (1.5°C-4°C).These, together with new evidence at regional scales, provide a stronger basis and more regional information for the AR6 assessment on weather and climate extremes.1 See Figure 1.18 for definition of AR6 regions.Acronyms for inhabited regions: ARP: Arabian”