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).
“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 title captures the crux of the story
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.
- sea level is formally referred to as Global Mean Sea Level (GMSL)
- its change is segmented into two subcategories in literature(?), mass-driven (e.g. ice melting?, freshwater runoff?, freshwater water cycle stuff?) and non-mass-driven (e.g. thermal expansion?)
- freshwater loss from land was found to be at present the lead driver of the mass-driven change as per the paper (over what timeframe?)
- title says it's the primary driver for GMSL change overall, which this alone doesn't support (i.e. the title is a lie)
- @ornel (the person posting) points to another study that claims mass-driven change is the leading change, hence the title [0, this doesn't pass my smell test but i see the logic]
- you point out that that's glossing over that that other study is counting from 1900, but if one shrunk the evaluation window, the non-mass-driven causes would be the drivers now [1, this doesn't pass my smell test either, but i see the logic here as well]
The latter point then begs the question though, what is the time window in this case then, and how stable that result is? What would be an "appropriate" time window to choose, and how would one derive that?
Regarding my non-passing smell tests, imagine the following scenario for some event:
- category A: 51% of the total
- cause A1: 26% of the total
- cause A2: 25% of the total
- category B: 49% of the total
- cause B1: 27% of the total
- cause B2: 22% of the total
In this case, category A will be the lead contributor, but individually none of its contributing causes will be, addressing [0]. The causes will be ordered like so instead: B1 > A1 > A2 > B2. More elaborate variations are possible of course. For [1], you can imagine the same scenario just in reverse.
Did I get all this right?
I appreciate the effort in your comment. I think upon further reflection my simpler objection is calling freshwater loss the main driver of sea level rise when the journal article and news article don’t. Also I would note this is only one study.
Thanks for that! I do wish it wasn't necessary though, but I guess that's just how real life problems go.
> I think upon further reflection my simpler objection is (...)
Right, that's perfectly fine; just got curious and you seemed informed.
Editorializing the titles in general is against the guidelines here anyhow to be fair, I'm expecting it will be updated by the mods eventually: https://news.ycombinator.com/newsguidelines.html
(Submitted title was "Freshwater loss from land is the lead driver of sea-level rise")
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.
jfengel•5h ago
Problem solved, once and for all.
treyd•5h ago
oh_my_goodness•4h ago
micromacrofoot•4h ago
riffraff•4h ago
DaveZale•3h ago
fooker•3h ago
Foolproof plan.
Gibbon1•3h ago
marcosdumay•4h ago
causal•4h ago
Ekaros•4h ago
firstworldfail•4h ago
aydyn•4h ago
Edit: Um okay, downvotes are quite telling.
ojbyrne•3h ago
makeitdouble•4h ago
I think that's completely ignoring our consumption patterns. We're totally up to the challenge of burning twice the resources with only half the population.
ada1981•3h ago
And that most of the inconvience will be needing to deploy robots to keep the poor away.
slt2021•3h ago
cutemonster•1h ago
andyferris•3h ago
(It's a problem that saturates but not a problem that self-corrects, and the saturation point is undesirable in any case)