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The agency has made projections indicating that by 2050, sea level in California could rise between 15 and 37 centimeters compared with the year 2000. This increase would be the result of glacier melting, ice loss, and ocean warming.
A study carried out by NASA, focused on California, has assessed how coastal land movement can influence sea level rise, showing that the ground can experience rises or subsidence of several centimeters, which could imply a future risk for coastal communities.
However, NASA has pointed out that there are regions where these figures may be higher due to various natural or human factors; the data from the finding are already being taken into account in the adaptation plans the state is developing.
New NASA report reveals the regions of the world most affected by climate change
Researchers from JPL and the National Oceanic and Atmospheric Administration (NOAA) used satellite radar together with GNSS data to carry out a detailed analysis of more than 1,600 kilometers of coastline, identifying both subsidence and land uplift.

On the other hand, there are areas within California where the phenomenon is reversed, since the land is rising. One example is the Santa Barbara Basin, which has been recovering since 2018, and Long Beach, where oil activities contribute to the uplift of the ground.
Using this technique, in San Francisco Bay—specifically in San Rafael, Corte Madera, Foster City, and Bay Farm Island—sustained subsidence exceeding 10 millimeters per year has been detected, which could result in a local rise in sea level that could exceed 45 centimeters.
NASA detects new areas of land subsidence
In the Central Valley, NASA has observed subsidence of up to 20 centimeters due to groundwater extraction, a phenomenon that has also been seen in Santa Clara, Santa Ana, and Chula Vista.
In areas of Los Angeles and San Diego, projections suggest the possibility of subsidence of up to 40 centimeters, which will require constant monitoring. However, specialists have indicated that making precise estimates is extremely complex due to uncertainty related to human activity.

