“The researchers identified the type of water loss on land, and for the first time, found that 68% came from groundwater alone — contributing more to sea level rise than glaciers and ice caps on land.”
They are saying the leading loss of water loss is from ground water. The largest contributor to sea level rise I would guess is still thermosteric sea level rise due to the ocean becoming warmer and less dense
See ipcc https://www.ipcc.ch/report/ar6/wg1/chapter/chapter-9/
9.6.1 Global and Regional Sea Level Change in the Instrumental Era
In particular, Cross-Chapter 9.1, Figure 1 | Global Energy Inventory and Sea Level Budget. Panel b
EDIT: @dang could the submission title be changed to the article or journal article title?
“New global study shows freshwater is disappearing at alarming rates”
Or
“Unprecedented continental drying, shrinking freshwater availability, and increasing land contributions to sea level rise”
I also highly recommend reading up on the GRACE satellite used in this study it is amazing https://gracefo.jpl.nasa.gov/resources/50/how-grace-fo-measu...
Indeed!
The GRACE measurement of mass change is one of the more revolutionary advances in Earth science remote sensing in the last few decades. It has provided a unique and completely novel view of groundwater mass change. Grace is the main reason we know so much about the massive groundwater loss in the Oglala aquifer in the US Midwest, in the Central Basin in California, and in northern India. Water well data exists but it is very sparse and idiosyncratic.
It’s also our main window into mass losses in ice sheets in high latitudes (Greenland, Antarctica). We have radar altimetry data from Antarctica, but because of glacial rebound and other effects, it’s not easy to translate height changes into mass changes. Grace measures mass change directly.
Several authors of the cited study are on the science team. It is a JPL instrument.
The original Grace pair used radio to measure separation and velocity, while the follow-up Grace-FO uses a laser. I assume the small wavelength of the laser provides a more accurate measurement. It’s possible that Grace-FO has a slightly higher spatial resolution (I’ve worked with Grace but not Grace-FO); the horizontal resolution of Grace is about 100km or about 1 degree.
From an inference perspective the measurement is very interesting. They pool about a month’s worth of observations of the distance and velocity of a pair of satellites, and do a Bayesian inversion to obtain a parameterized gravitational potential for that month. The map from gravitational potential to observation is known analytically, so it’s readily possible to get a spatial covariance for the gravitational potential, as well as the point estimate.
The IPCC section “9.6.1.1 Global Mean Sea Level Change Budget in the Pre-satellite Era” says Since SROCC, a new ocean heat content reconstruction (Section 2.3.3.1; Zanna et al., 2019) has allowed global thermosteric sea level change to be estimated over the 20th century. As a result, the sea level budget for the 20th century can now be assessed for the first time. For the periods 1901–1990 and 1901–2018, the assessed very likely range for the sum of components is found to be consistent with the assessed very likely range of observed GMSL change (medium confidence), in agreement with Frederikse et al. (2020b; Table 9.5). This represents a major step forward in the understanding of observed GMSL change over the 20th century, which is dominated by glacier (52%) and Greenland Ice Sheet mass loss (29%) and the effect of ocean thermal expansion (32%), with a negative contribution from the LWS change (–14%). While the combined mass loss for Greenland and glaciers is consistent with SROCC, updates in the underlying datasets lead to differences in partitioning of the mass loss.”
Edit: by a different story I mean a different story from what is the leading driver of sea level rise. Sea level rise from ice melt was larger since 1900 because sea level rise in general was less fast back then and global mean temperature rise was much smaller so thermosteric sea level rise played less of a role. Thermosteric sea level rise is larger than ground water factors, both will be eclipsed by ice melt in the upcoming century.
I would note the authors pointedly do not call it the leading driver of sea level rise.
The title captures the crux of the story
Does anybody have any data about the accelerating sea-level rising? As a Dutch person I'm of course very interested in this, but I can't find any data that supports this.
https://ourworldindata.org/grapher/sea-level
I don't see much of an acceleration...
Problem solved, once and for all.
(It's a problem that saturates but not a problem that self-corrects, and the saturation point is undesirable in any case)
And that most of the inconvience will be needing to deploy robots to keep the poor away.
I'm not sure I understand where you see a contradiction. Land areas are using groundwater faster than it can be replenished, so land is getting drier. That's according to the article (just basing of the summary not the scientific one) is driven by both overuse and drier and warmer weather. The thing is, that's a feedback loop, if it gets drier we'll be using more groundwater for irrigation. So both processes are driven by climate change.
It wasn't that there is a contradiction. If the over use has been happening for decades, and it's at a rate faster than historical replenishment could happen anyways (before "climate change), then this would indicate that over use is the primary cause. Drier weather is a contributing factor in the pace of depletion, but in no way could be the solitary cause nor cure. Even in the article they mention the demands related to a growing population and industrial agriculture (article also mentions potential food scarcity).
I set an alarm for (#1), "Preparing for the low pressure 12ft tidal/storm surge or the 18ft tsunami that could arrive as early as tomorrow and probably will within 10 years, unless one is incredibly dumb or has never lived near the ocean."
I did not set an alarm for #2.