Introduction

In recent decades, many regions of the world have experienced a growing instability in rainfall patterns. What were once predictable seasonal rains have become unpredictable —arriving late, falling too fast, or not coming at all. As communities face longer droughts, more frequent floods, and declining snowpack, it’s increasingly clear that these disruptions are not isolated events, but signals of a deeper transformation: the global water cycle is changing.

Understanding the drivers of this transformation is critical to managing its impacts. Among all these drivers, climate change stands out for its broad and long-lasting impact on the water cycle. This article explores how climate change is intensifying disruptions to Earth’s water cycle and how satellite technologies are helping us monitor, understand, and respond to these changes. Drawing on examples from international research programs and operational tools—such as the Gravity Recovery and Climate Experiment (GRACE) and Gravity Recovery and Climate Experiment Follow-on (GRACE-FO) missions, the Global Precipitation Measurement Mission (GPM) missions, the WaPOR platform (Water Productivity through Open-access of Remotely sensed derived data), and the Copernicus Land Monitoring Service —we examine how space-based Earth observation is being used not only to track water cycle variables, but to inform early warning systems, long-term planning, and climate adaptation strategies.

How climate change disrupts the water cycle

Irregular and extreme precipitation

Climate change significantly intensifies the water cycle through a combination of increased temperature and enhanced evaporation. One of the most prominent outcomes is the pattern often summarized as “wet areas get wetter, and dry areas get drier” (Trenberth 2014). Rising global temperatures increase the evaporation rate from oceans, lakes, and soil, and warmer air can hold more moisture—about 7% more for every 1°C increase in temperature (IPCC 2021). This relationship is governed by the Clausius–Clapeyron equation, which describes how the saturation vapor pressure of air increases exponentially with temperature. The result is a stronger and more moisture-laden atmosphere, leading to more intense and irregular rainfall, especially in regions that are already wet. These areas—including many high-latitude zones—are experiencing increased precipitation and a higher net water balance (precipitation minus evaporation, or P–E). In contrast, arid and semi-arid regions—particularly in the subtropics—suffer from accelerated evaporation, soil drying, and prolonged droughts due to limited moisture input.

“As a result of rising temperatures, the hydrological cycle has accelerated. It has also become more erratic and unpredictable, and we are facing growing problems of either too much or too little water. A warmer atmosphere holds more moisture, which is conducive to heavy rainfall. More rapid evaporation and drying of soils worsen drought conditions,” Celeste Saulo, the Secretary General of the World Meteorological Organization (WMO)

MODIS false colour image showing Sahara showing flooding before and after rainfall
Figure 1. MODIS false-colour images of the Sahara showing flooding before (Aug 14, 2024) and after (sept 10, 2024) the intense rainfall (NASA Earth Observatory 2024)

 

While the general pattern suggests a growing contrast between wet and dry regions, climate change can also contribute to unexpected and extreme weather events. This might help explain surprising events, such as the rare and intense rainfall that occurred in the Sahara Desert on September 7–8, 2024. During this event, some locations in southeastern Morocco and neighbouring areas experienced over 200 millimetres of rain in just two days—far exceeding the region's annual average. Figure 1 shows the satellite images of the Sahara before and after the rainfall. The heavy rain caused flash floods, damaged infrastructure, and resulted in fatalities. Meteorological analyses linked the event to a rare extratropical cyclone drawing moisture deep into North Africa, likely enhanced by northward displacement of the Intertropical Convergence Zone (ITCZ). Climate change may have amplified the storm’s intensity by increasing atmospheric water vapor content.

Shifting ocean circulation and melting snow and ice

Schema showing components of ocean and cryosphere in the Earth system
Figure 2.  Schematic illustration of key components and changes of the ocean and cryosphere, and their linkages in the earth system through the global exchange of heat, water, and carbon (IPCC 2019)

 

Climate change is rapidly altering both the ocean and cryosphere, producing interconnected shifts that profoundly influence the global water cycle, as illustrated in Figure 2. In the ocean, these changes include rising sea levels, increasing ocean heat content and marine heatwaves, declining oxygen levels, and ocean acidification. Meanwhile, in the cryosphere, warming is causing the retreat of Arctic Sea ice, mass loss from the Antarctic and Greenland ice sheets, glacier shrinkage, permafrost thaw, and reductions in snow cover.

The ocean and atmosphere are tightly coupled through what scientists describe as atmosphere–ocean–wave interactions. These involve the constant exchange of energy, moisture, and momentum between air, sea surface, and waves (Janssen 2004). Winds generate surface currents and waves; in return, the ocean emits heat and moisture, influencing atmospheric dynamics. Waves modify how efficiently this energy is exchanged, particularly under storm conditions. These interactions underpin large-scale climate phenomena such as the El Niño–Southern Oscillation (ENSO), tropical storm behaviour, and shifts in monsoon systems. As the climate warms, these processes are becoming increasingly erratic—affecting where and when precipitation occurs, and how intense storms become.

At a broader scale, ocean circulation systems themselves are evolving with climate change. One of the most critical transformations is the weakening of the Atlantic Meridional Overturning Circulation (AMOC), a central component of the global ocean conveyor belt that transports heat from the tropics to the North Atlantic (NASA 2023). Increased freshwater from Greenland melt and heavier rainfall are reducing salinity and density in the region, slowing deepwater formation and weakening AMOC. This may lead to reduced rainfall in West Africa, higher sea levels along the U.S. East Coast, and cooler conditions in northern Europe, despite global warming.

The most significant impact of climate change on the cryosphere is the melting of snow and glaciers, which reduces the extent of snowpack. This not only threatens the seasonal freshwater supply for downstream regions but also decreases surface albedo—meaning less sunlight is reflected back into space. Darker, exposed surfaces absorb more solar radiation, amplifying local and regional warming and accelerating further melting. This positive feedback loop intensifies water cycle disruption in both mountainous and polar regions. Notably, between 2021 and 2023, the Antarctic ice sheet exhibited a rare increase in mass, primarily attributed to an anomalous rise in snowfall over East Antarctica. This short-term gain contrasts with the long-term trend of mass loss observed in recent decades (Wang et al. 2025).

Shifting vegetation patterns

Furthermore, climate-driven changes in vegetation, such as large-scale forest dieback due to prolonged drought, can initiate a cascade of secondary feedback that significantly influences the terrestrial water cycle. The loss of vegetation reduces canopy transpiration and soil evaporation, collectively lowering evapotranspiration. This leads to decreased atmospheric moisture content and local humidity, weakening land–atmosphere coupling and moisture recycling processes, and potentially suppressing precipitation (Smith, Baker, and Spracklen 2023).

In addition to hydrological impacts, shifts in vegetation cover also modify biophysical surface properties such as albedo, aerodynamic roughness length, and heat flux partitioning (Lawrence et al. 2022). For instance, deforestation generally increases surface albedo and reduces surface roughness, leading to lower net radiation and reduced turbulent fluxes, which in turn can contribute to regional cooling and reduced convective activity, ultimately altering precipitation patterns. This means that when vegetation is removed, the land becomes less able to absorb and exchange heat and moisture with the atmosphere, making it harder for rain to form.

Beyond these biophysical and hydrological feedbacks, climate-induced forest degradation also threatens the carbon sink function of vegetation. As observed in regions such as the Amazon and Central Europe, prolonged stress from deforestation and climate change has weakened forest carbon uptake—and in some cases, forests have become net carbon sources (Gatti et al. 2021; Narodoslawsky 2025). This not only compromises efforts to meet climate targets but also introduces a reinforcing loop, whereby vegetation loss exacerbates atmospheric CO₂ levels, further intensifying climate change.

How satellite remote sensing helps monitoring climate-driven changes in water cycle

Understanding how climate change alters the water cycle requires not only scientific insight but also robust data on how key hydrological variables are shifting across time and space. While ground-based monitoring remains vital, it is often limited in spatial coverage and temporal frequency—especially in regions most vulnerable to climate impacts. Satellite remote sensing addresses this gap by offering globally consistent and timely observations of water cycle dynamics. In this context, Earth observation has become indispensable for tracking and responding to climate-driven changes in the water cycle. Satellites track precipitation, evapotranspiration, soil moisture, groundwater storage, snow cover, and surface water bodies—providing valuable inputs for both long-term studies and real-time decision-making. Table 1 summarises major satellite missions and their contributions to different aspects of water cycle monitoring:

Table 1. Major satellite missions and their contributions to water cycle monitoring
Water cycle componentKey satellite missionsTypical data processing approachMain algorithmsSources
Precipitation

The Tropical Rainfall Measuring Mission (TRMM)

GPM

Radiometer brightness temperatures (TB) and radar reflectivities (Z) are transformed into precipitation rate using retrieval algorithms

Radar: Dual-frequency Precipitation Radar (DPR) Level 2 Algorithm

Radiometer: Goddard Profiling Algorithm (GPROF)

https://gpm.nasa.gov/missions/trmm

https://gpm.nasa.gov/missions/GPM

https://gpm.nasa.gov/science/precipitation-algorithms#radaralgorithms

Soil moisture

The Soil Moisture Active Passive (SMAP)

Soil Moisture and Ocean Salinity (SMOS)

L-band brightness temperature observations are assimilated into radiative transfer or dielectric mixing models to retrieve surface soil moisture

Single Channel Algorithms (SCA)

The Dual Channel Algorithm (DCA)

Land Parameter Retrieval Model (LPRM)

https://smap.jpl.nasa.gov/

https://www.esa.int/Applications/Observing_the_Earth/FutureEO/SMOS

https://doi.org/10.1016/j.rse.2014.08.002

Groundwater and water storage

GRACE

GRACE-FO

Transform inter-satellite distance variations into monthly gravity fields; apply decorrelation filtering and scaling to derive water mass anomalies over hydrological basins.Mascon solutions from JPL (Jet Propulsion Laboratory) /CSR (GeoforschungsZentrum Potsdam)  /GSFC (Center for Space Research at University of Texas, Austin)

https://gracefo.jpl.nasa.gov/

https://grace.jpl.nasa.gov/data/choosing-a-solution/

Snow and ice

The Moderate Resolution Imaging Spectroradiometer (MODIS)

The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2)

Sentinel-1

Sentinel-2

GRACE

GRACE-FO

Apply Normalized Difference Snow Index (NDSI) and other multispectral indices to detect snow; use SAR backscatter for snow/ice discrimination; track surface elevation changes with lidar or radar altimetry to assess ice mass loss.

NDSI

ATL06 algorithm (ICESat-2)

JPL/ CSR/ GSFC mascon solutions

https://modis-land.gsfc.nasa.gov/snow.html

https://nsidc.org/data/atl06/versions/6

https://grace.jpl.nasa.gov/data/choosing-a-solution/

Surface water

Surface Water and Ocean Topography (SWOT)

Sentinel-2

Landsat

Multispectral optical imagery to derive water indices like Normalized Difference Water Index (NDWI)  enabling detection of water body boundaries.

SWOT uses Ka-band radar Interferometer  (KaRIn) to provide details on the elevation and extent of global water bodies.

NDWI

SWOT KaRIn

http://seadas.gsfc.nasa.gov/help-8.4.0/ndwi/NdwiAlgorithmSpecification.html

https://swot.jpl.nasa.gov/

Evapotranspiration

MODIS

Landsat

Estimate evapotranspiration by applying energy balance models, which balance incoming and outgoing surface energy using satellite-derived temperature, albedo, and vegetation indices.

The Surface Energy Balance Algorithm for Land (SEBAL)

Mapping ET at High Resolution with Internalized Calibration (METRIC) 

https://modis.gsfc.nasa.gov/data/dataprod/mod16.php

https://svs.gsfc.nasa.gov/3632

https://modis.gsfc.nasa.gov/sci_team/pubs/abstract.php?id=24174

Atmospheric water vapour

Atmospheric Infrared Sounder (AIRS)

MODIS

Visible Infrared Imaging Radiometer Suite (VIIRS)

Sentinel-5P

Derive total column water vapor by analysing spectral absorption features in the near-infrared, shortwave infrared, or thermal infrared bands using radiative transfer algorithms.Spectral Absorption Retrieval

https://airs.jpl.nasa.gov/

https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/science-domain/water-vapor/

https://maps.s5p-pal.com/tcwv/season/

Ocean surface / Ocean currents

Topography Experiment (TOPEX)/Poseidon

Jason-1 Ocean Surface Topography Mission(OSTM)/Jason-2

Jason-3

Sentinel-6

GRACE

GRACE-FO

Gravity Field and Steady-State Ocean Circulation Explorer (GOCE)

Measure sea surface height using radar altimetry by timing microwave pulse returns, correcting for atmospheric and geophysical delays, and referencing to a geodetic ellipsoid, then derive ocean surface currents from its horizontal gradients using geostrophic balance.

Radar Altimetry Algorithm

Geostrophic Current Derivation

https://sealevel.nasa.gov/understanding-sea-level/key-indicators/global-mean-sea-level/

https://earthobservatory.nasa.gov/images/147435/taking-a-measure-of-sea-level-rise-ocean-altimetry

https://www.aviso.altimetry.fr/fileadmin/documents/OSTST/2012/posters/Sanchez_reales_ocean_geostrophiy.pdf

 

Building on the observational capabilities summarised in the table above, satellite technologies are increasingly applied in practical decision-making and risk management related to water cycle disruptions. By transforming observational data into actionable insights, these systems convert satellite-based measurements—such as brightness temperatures, backscatter coefficients, or gravity anomalies—into meaningful water cycle indicators like precipitation rates, evapotranspiration, and groundwater storage. This transformation is supported by techniques such as retrieval algorithms and energy balance models, enabling earlier detection of anomalies, more accurate forecasting of hydrological extremes, and better allocation of water resources. From national agencies to international platforms, satellite-derived data inform policies, guide planning under uncertainty, and strengthen resilience to both acute events and long-term climate-driven shifts in water availability.

Applications of satellite remote sensing in water cycle monitoring

Climate change is increasing the frequency and intensity of extreme precipitation events, raising the stakes for timely and accurate monitoring. As part of the GPM mission, the Global Satellite Mapping of Precipitation (GSMaP) product, provided by the Japan Aerospace Exploration Agency (JAXA), delivers hourly global precipitation maps at a 0.1° × 0.1° latitude-longitude resolution. GSMaP data have been integrated into regional early warning systems such as the International Flood Forecasting System (IFAS), developed by the International Centre for Water Hazard and Risk Management (ICHARM). These systems utilize GSMaP’s high-resolution, near-real-time and forecast precipitation data to enhance the accuracy and timeliness of flood forecasting, particularly in Asia and other vulnerable regions (Kubota et al. 2020).

Amid prolonged drought conditions exacerbated by climate change, managing groundwater has become a central concern in many arid regions, including southwestern United States. Groundwater storage anomalies derived from the GRACE and GRACE-FO satellite missions are actively used by California’s Department of Water Resources (CA’s DWR) for drought monitoring. These satellite observations help track groundwater depletion trends—particularly in the Central Valley—inform aquifer sustainability assessments, and support decision-making during drought emergencies. California’s DWR updates GRACE and GRACE-FO data on a semi-annual basis to gain insights into regional groundwater changes and to ensure the state maintains water resilience amid ongoing climate challenges (NASA Jet Propulsion Laboratory 2024).

Increased climatic variability, including more frequent droughts and irregular rainfall, poses direct risks to agricultural productivity. In response, the Food and Agriculture Organization (FAO) developed the WaPOR platform, which uses open-access remote sensing data to support dynamic monitoring of water productivity (Food and Agriculture Organization, n.d.). Widely applied across Africa and the Near East, WaPOR leverages satellite-based observations—including biomass production, evapotranspiration, and precipitation—to help farmers and policymakers assess crop performance, identify areas of water stress, and improve irrigation efficiency. The platform aims not only to identify and close water productivity gaps and promote sustainable agricultural growth, but also to ensure equitable use of ecosystems and water resources, ultimately helping to alleviate overall water stress.

In high-latitude and mountainous regions, where snow and ice are critical water sources, climate change is altering seasonal melt patterns and hydrological regimes. Within the Copernicus Land Monitoring Service (CLMS), Sentinel-1 and Sentinel-2-based snow cover data support hydrological modelling and water resource planning in the Alps. The near real-time High-Resolution Snow and Ice (HR-S&I) Monitoring products, derived from both optical and radar imagery, offer detailed regional snow cover information at a spatial resolution of up to 20 meters. These products significantly enhance seasonal runoff forecasting, flood early warning, and water supply management in alpine catchments (Copernicus 2022).

Conclusion

As the climate continues to evolve, the task of managing water resources has grown more complex and urgent. A growing body of scientific evidence points to intensifying hydrological extremes—more frequent heavy rainfall, faster snow and glacier melt, and shifting patterns of water distribution across regions. Though the specific manifestations differ from place to place, they are linked by a shared characteristic: increasing uncertainty about when, where, and how water will flow through the environment.

Responding to this uncertainty requires not only more data, but better tools for interpreting and applying that data. Satellite-based Earth observation has become one of the most powerful assets in this regard. These technologies enable us to detect changes in key water cycle variables in near real-time, monitor long-term trends across large and often inaccessible regions, and support early warning systems and planning processes that can reduce risks and build resilience.

Throughout this article, we have explored how climate change is reshaping the water cycle and how satellite remote sensing is providing the actionable information needed to respond. Looking ahead, the challenge will be to move from observation to implementation: to ensure that satellite-derived insights are fully integrated into decision-making at all levels, from local water utilities to national climate strategies and international development agendas.

Sources

Copernicus. 2022. “Copernicus. “OBSERVER: New Copernicus Land Monitoring Services: Launch of the Second Part of the High Resolution Snow and Ice Monitoring Products.” January 13, 2022. https://www.copernicus.eu/en/news/news/observer-new-copernicus-land-mon….

Food and Agriculture Organization of the United Nations. n.d. “WaPOR: FAO’s Portal to Monitor Water Productivity through Open Access of Remotely Sensed Derived Data.” Accessed May 12, 2025. https://data.apps.fao.org/wapor/?lang=en.

IPCC. 2019. “Special Report on the Ocean and Cryosphere in a Changing Climate .” https://www.ipcc.ch/srocc/.

———. 2021. “Climate Change 2021: The Physical Science Basis - Chapter 8.” https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Chapte….

Janssen, Peter. 2004. The Interaction of Ocean Waves and Wind. https://doi.org/https://doi.org/10.1017/CBO9780511525018.

Kubota, Takuji, Kazumasa Aonashi, Tomoo Ushio, Shoichi Shige, Yukari N Takayabu, Misako Kachi, Yoriko Arai, et al. 2020. “Global Satellite Mapping of Precipitation (GSMaP) Products in the GPM Era.” In Satellite Precipitation Measurement: Volume 1, edited by Vincenzo Levizzani, Christopher Kidd, Dalia B Kirschbaum, Christian D Kummerow, Kenji Nakamura, and F Joseph Turk, 355–73. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-24568-9_20.

Lawrence, Deborah, Michael Coe, Wayne Walker, Louis Verchot, and Karen Vandecar. 2022. “The Unseen Effects of Deforestation: Biophysical Effects on Climate.” Frontiers in Forests and Global Change Volume 5-2022. https://doi.org/10.3389/ffgc.2022.756115.

NASA. 2023. “Slowdown of the Motion of the Ocean.” 2023. https://science.nasa.gov/earth/earth-atmosphere/slowdown-of-the-motion-….

NASA Earth Observatory. 2024. “A Deluge for the Sahara.” August 14, 2024. https://earthobservatory.nasa.gov/images/153320/a-deluge-for-the-sahara.

NASA Jet Propulsion Laboratory. 2024. “Data in Action: GRACE and GRACE-FO Are Used by California’s Department of Water Resources for Groundwater Management Information.” August 13, 2024. https://grace.jpl.nasa.gov/news/217/data-in-action-grace-and-grace-fo-a….

Smith, C, J C A Baker, and D V Spracklen. 2023. “Tropical Deforestation Causes Large Reductions in Observed Precipitation.” Nature 615 (7951): 270–75. https://doi.org/10.1038/s41586-022-05690-1.

Trenberth, Kevin E. 2014. “Water Cycles and Climate Change.” In Global Environmental Change, edited by Bill Freedman, 31–37. Dordrecht: Springer Netherlands. https://doi.org/10.1007/978-94-007-5784-4_30.