Water budgets without per-site training: foresight, soil calibration, and snow redistributed at 20 metres
In preprints, longer planning horizons cut aquifer overdraft, a scaling method calibrates soil probes remotely, and satellite data redistribute snow water equivalent at fine resolution.
- In a preprint, lengthening the planning horizon of competitive groundwater users can reduce relative aquifer overdraft from 43 percent to 23 percent. Self-reported m:…0566
- In a preprint, pedotransfer function scaling is more accurate than conventional calibration at 4 out of 6 test sites in Muttama, New South Wales. Self-reported m:…3061
- In a preprint, a random forest redistribution approach achieves a Pearson correlation coefficient of 0.75 at snow water equivalent peaks in the Dischma catchment. Self-reported m:…7312
- In a preprint, GEO-LEO fusion using Himawari and Landsat reduces temporal aliasing in evapotranspiration estimation compared with temporally interpolated Landsat snapshots. Self-reported m:…8556
Foresight as groundwater policy
In a preprint, the behavior of groundwater users depends on how far ahead they plan, not only on how much water is available. Lengthening the planning horizon of competitive users can reduce relative aquifer overdraft from 43 percent to 23 percent. The change is large: a longer horizon alone, without any change to the aquifer itself, cuts the reported overdraft by nearly half in relative terms. m:…0566
Increasing the spacing between wells decreases the relative overdraft to 28 percent. Planning horizon length, a temporal dimension, and the distance between wells, a spatial dimension, are analogs, having similar impacts on externalities. That analogy is the useful part for policy: time and space can substitute for each other in reducing the harm one user imposes on others, so a manager short on one dimension may be able to compensate with the other. m:…0566
Soil probes calibrated remotely
A second preprint addresses calibration of soil moisture probes without revisiting each site. Pedotransfer function scaling is more accurate than conventional calibration at 4 out of 6 test sites in Muttama, New South Wales. The result is not universal across the test sites, and that limit is stated plainly: the scaling method wins at four sites, which leaves two where conventional calibration did at least as well. m:…3061
Pedotransfer function scaling can achieve soil moisture measurement accuracy under 5 percent volumetric water content. Pedotransfer function scaling calibration typically stabilizes after 2 to 3 years following an above-average rainfall event. The time condition matters for planning: calibration is not instant, and it settles after a wet event provides enough signal over two to three years. m:…3061
Snow redistributed at 20 metres
A third preprint redistributes snow water equivalent from semi-distributed hydrological modeling using multi-source high-resolution satellite data and a random forest approach. The random forest redistribution approach achieves a Pearson correlation coefficient of 0.75 at snow water equivalent peaks in the Dischma catchment. Peak snow matters because it sets the water available for melt, so accuracy at the peak is the demanding test rather than accuracy averaged over the season. m:…7312
The proposed methodology provides snow water equivalent maps at 20 meter spatial resolution, consistent with the water mass balance of the GEOframe hydrological model. Redistributed snow water equivalent maps show a Pearson correlation of 0.90 with the Swiss operational snow-hydrological model, known as OSHD. The two correlations answer different questions: one against observed peaks, and one against an operational model, and both point in the same direction. m:…7312
Crop water from fused satellites
A fourth preprint improves the joint estimation of crop evapotranspiration and root-zone soil moisture in an ecohydrological model through GEO-LEO fusion using Himawari and Landsat data. GEO-LEO fusion reduces temporal aliasing in evapotranspiration estimation compared with temporally interpolated Landsat snapshots. Aliasing here means that infrequent snapshots can misrepresent change between observations, and the geostationary Himawari record fills the gaps between Landsat passes. m:…8556
Integrating fused evapotranspiration data into the SWEB model leads to more physically plausible hydraulic parameter sets. GEO-LEO fusion provides systematic improvements in root-zone soil moisture estimates compared with standard LEO-only workflows. This suggests that the gain is not only a better evapotranspiration number but a more coherent model underneath it, with parameters and soil moisture estimates improving together. m:…8556
What is still unresolved
- Whether pedotransfer function scaling beats conventional calibration at the 2 test sites where it did not win
- Whether planning horizon and well spacing effects hold outside the competitive groundwater setting modeled here
- Whether snow redistribution accuracy at Dischma peaks transfers to other catchments
- Whether GEO-LEO fusion gains hold beyond the ecohydrological model and data combination tested here
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