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Results 1 - 10 of 255  for Great Falls College MSU

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1
Quantifying renewable groundwater stress with GRACE
Quantifying renewable groundwater stress with GRACE
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Quantifying renewable groundwater stress with GRACE

Richey, Alexandra S ; Thomas, Brian F ; Lo, Min‐Hui ; Reager, John T ; Famiglietti, James S ; Voss, Katalyn ; Swenson, Sean ; Rodell, Matthew

Water resources research, 2015-07, Vol.51 (7), p.5217-5238 [Peer Reviewed Journal]

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2
The USDA‐ARS Experimental Watershed Network: Evolution, Lessons Learned, Societal Benefits, and Moving Forward
The USDA‐ARS Experimental Watershed Network: Evolution, Lessons Learned, Societal Benefits, and Moving Forward
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The USDA‐ARS Experimental Watershed Network: Evolution, Lessons Learned, Societal Benefits, and Moving Forward

Goodrich, D. C ; Heilman, P ; Anderson, M ; Baffaut, C ; Bonta, J ; Bosch, D ; Bryant, R ; Cosh, M ; Endale, D ; Veith, T. L ; Havens, S. C ; Hedrick, A ; Kleinman, P. J ; Langendoen, E. J ; McCarty, G ; Moorman, T ; Marks, D ; Pierson, F ; Rigby, J. R ; Schomberg, H ; Starks, P ; Steiner, J ; Strickland, T ; Tsegaye, T

Water resources research, 2021-02, Vol.57 (2), p.n/a [Peer Reviewed Journal]

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3
Global evaluation of new GRACE mascon products for hydrologic applications
Global evaluation of new GRACE mascon products for hydrologic applications
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Global evaluation of new GRACE mascon products for hydrologic applications

Scanlon, Bridget R ; Zhang, Zizhan ; Save, Himanshu ; Wiese, David N ; Landerer, Felix W ; Long, Di ; Longuevergne, Laurent ; Chen, Jianli

Water resources research, 2016-12, Vol.52 (12), p.9412-9429 [Peer Reviewed Journal]

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4
Hyporheic zone hydrologic science: A historical account of its emergence and a prospectus
Hyporheic zone hydrologic science: A historical account of its emergence and a prospectus
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Hyporheic zone hydrologic science: A historical account of its emergence and a prospectus

Cardenas, M. Bayani

Water resources research, 2015-05, Vol.51 (5), p.3601-3616 [Peer Reviewed Journal]

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5
Debates—Hypothesis testing in hydrology: A view from the field: The value of hydrologic hypotheses in designing field studies and interpreting the results to advance hydrology
Debates—Hypothesis testing in hydrology: A view from the field: The value of hydrologic hypotheses in designing field studies and interpreting the results to advance hydrology
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Debates—Hypothesis testing in hydrology: A view from the field: The value of hydrologic hypotheses in designing field studies and interpreting the results to advance hydrology

McKnight, Diane M

Water resources research, 2017-03, Vol.53 (3), p.1779-1783 [Peer Reviewed Journal]

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6
A high‐resolution global flood hazard model
A high‐resolution global flood hazard model
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A high‐resolution global flood hazard model

Sampson, Christopher C ; Smith, Andrew M ; Bates, Paul D ; Neal, Jeffrey C ; Alfieri, Lorenzo ; Freer, Jim E

Water resources research, 2015-09, Vol.51 (9), p.7358-7381 [Peer Reviewed Journal]

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7
Water and life from snow: A trillion dollar science question
Water and life from snow: A trillion dollar science question
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Water and life from snow: A trillion dollar science question

Sturm, Matthew ; Goldstein, Michael A ; Parr, Charles

Water resources research, 2017-05, Vol.53 (5), p.3534-3544 [Peer Reviewed Journal]

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8
Debates—Hypothesis testing in hydrology: Theory and practice
Debates—Hypothesis testing in hydrology: Theory and practice
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Debates—Hypothesis testing in hydrology: Theory and practice

Pfister, Laurent ; Kirchner, James W

Water resources research, 2017-03, Vol.53 (3), p.1792-1798 [Peer Reviewed Journal]

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9
Stream water age distributions controlled by storage dynamics and nonlinear hydrologic connectivity: Modeling with high‐resolution isotope data
Stream water age distributions controlled by storage dynamics and nonlinear hydrologic connectivity: Modeling with high‐resolution isotope data
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Stream water age distributions controlled by storage dynamics and nonlinear hydrologic connectivity: Modeling with high‐resolution isotope data

Soulsby, C ; Birkel, C ; Geris, J ; Dick, J ; Tunaley, C ; Tetzlaff, D

Water resources research, 2015-09, Vol.51 (9), p.7759-7776 [Peer Reviewed Journal]

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10
Most computational hydrology is not reproducible, so is it really science?
Most computational hydrology is not reproducible, so is it really science?
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Most computational hydrology is not reproducible, so is it really science?

Hutton, Christopher ; Wagener, Thorsten ; Freer, Jim ; Han, Dawei ; Duffy, Chris ; Arheimer, Berit

Water resources research, 2016-10, Vol.52 (10), p.7548-7555 [Peer Reviewed Journal]

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Results 1 - 10 of 255  for Great Falls College MSU

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