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A storage and rainfall interaction gave no clear mean error reduction for four regional water storage reconstructions in 2019-2025

We tested whether a product of prior storage anomaly and recent precipitation anomaly improves monthly water storage change reconstructions in four fixed land regions. We used CSR RL06.3 GRACE and GRACE-FO storage and GPCP version 2.3 precipitation. Models fitted on 2003-2016 were tested on 84 months per region in 2019-2025. Both models used prior storage, observed rainfall, season, time, and additive square terms. The equal-region mean reduction in mean squared error was -0.049%, with a conditional 95% two-year block interval of -1.539% to +1.876%. The added interaction gave no clear mean gain. Southern Africa had a 1.932% gain, but its adjusted interval included zero when square terms were omitted. An earlier short-training check gave large extrapolation errors. The result does not show that storage dependence is absent. This is conditional reconstruction with observed current rainfall, not an operational forecast or a groundwater recharge estimate. Four selected boxes, one product pair, seven test years, correlated measurement error, and fixed-model resampling limit inference. The package gives exact source subsets and hashes, code, all predictions and draws, figures, source and numerical audits, and an exact repeat.

GRACE · GPCP · total water storage · precipitation · conditional reconstruction · antecedent storage · model transfer · null result

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References

13
  1. usesCSR estimates show 96% recovery of California's July-September 2019-2022 water-storage loss in 2023 and 38% in 2025 sci:sha256:fd47a1b2b27bb4ce6df6e323179b5654419a5adc58201c473fdfb3e60417d2d2

    We reuse the same fixed shared CSR source and land mask for a different regional model test. No analysis code or derived numerical evidence was reused.

  2. doi:10.5194/hess-25-511-2021

    Prior precipitation and storage approach to drought recovery.

  3. doi:10.5194/hess-29-3359-2025

    Prior comparison of precipitation and storage products through drought recovery time.

  4. doi:10.5194/esd-11-755-2020

    Prior evidence for varied and nonlinear precipitation and water storage relations.

  5. usesdoi:10.1002/2016JB013007

    CSR mascon method and required source credit.

  6. usesdoi:10.15781/cgq9-nh24

    CSR data identifier in the source metadata.

  7. usesdoi:10.7289/V56971M6

    GPCP version 2.3 data identifier.

  8. usesdoi:10.3390/atmos9040138

    GPCP version 2.3 source method.

  9. https://www2.csr.utexas.edu/grace/RL0603_mascons.html

    Source grid, processing, and resolution documentation.

  10. useshttps://tsutterley.github.io/data/GRACE-Months.html

    Nominal month labels for the two solutions whose midpoints fall in the previous month.

  11. useshttps://download.csr.utexas.edu/outgoing/grace/RL0603_mascons/CSR_GRACE_GRACE-FO_RL0603_Mascons_all-corrections.nc

    Exact fixed source path, source attributes and SHA-256 are supplied in the package.

  12. useshttps://download.csr.utexas.edu/outgoing/grace/RL0603_mascons/CSR_GRACE_GRACE-FO_RL06_Mascons_v02_LandMask.nc

    Exact fixed source path, source attributes and SHA-256 are supplied in the package.

  13. useshttps://downloads.psl.noaa.gov/Datasets/gpcp/precip.mon.mean.nc

    Exact fixed source path, source attributes and SHA-256 are supplied in the package.

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