Technical note: Precipitation phase partitioning at landscape-to-regional scales

Abstract. Water management throughout the western United States largely relies on the partitioning of cool season mountain precipitation into rain and snow, particularly snow as it maximizes available water for warm season use. Recent studies indicate a shift toward increased precipitation falling as rain, which is consistent with a warming climate. An approach is presented to estimate precipitation-phase partitioning across landscapes from 1948 to the present by combining fine-scale gridded precipitation data with coarse-scale freezing level and precipitation data from an atmospheric reanalysis. A marriage of these data sets allows for a new approach to estimate spatial patterns and trends in precipitation partitioning over elevational and latitudinal gradients in major water supply basins. This product is used in California as a diagnostic indicator of changing precipitation phase across mountain watersheds. Results show the largest increases in precipitation falling as rain during the past 70 years in lower elevation watersheds located within the climatological rain–snow transition regions of northern California during spring. Further development of the indicator can inform adaptive water management strategy development and implementation in the face of a changing climate.

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Supplementary material to "Technical note: Precipitation phase partitioning at landscape-to-regional scales"

10.5194/hess-2020-122-supplement ◽

2020 ◽

Author(s):

Elissa Lynn ◽

Aaron Cuthbertson ◽

Minxue He ◽

Jordi P. Vasquez ◽

Michael L. Anderson ◽

...

Keyword(s):

Technical Note ◽

Phase Partitioning ◽

Supplementary Material ◽

Precipitation Phase

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Review of "Technical note: Precipitation phase partitioning at landscape-to-regional scales"

10.5194/hess-2020-122-rc1 ◽

2020 ◽

Author(s):

Alan M Rhoades

Keyword(s):

Technical Note ◽

Phase Partitioning ◽

Precipitation Phase

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Diagnostics in ballast water management

MATEC Web of Conferences ◽

10.1051/matecconf/201818202004 ◽

2018 ◽

Vol 182 ◽

pp. 02004 ◽

Cited By ~ 1

Author(s):

Marcin Bielski ◽

Jacek Wachowicz ◽

Ryszard Bielski ◽

Arkadiusz Adamczyk ◽

Hendra Jantanata

Keyword(s):

Water Management ◽

Invasive Species ◽

Natural Environment ◽

Ballast Water ◽

Environmental Safety ◽

The Face ◽

Ballast Tanks ◽

Ballast Water Management

Diagnostics in ballast water management is the main remedy to protect against the threat of spreading invasive species that can be carried in ships' ballast tanks. This phenomenon is getting better known and understood. New and more effective methods of preventing threats related to this are being developed. Procedures are created to ensure environmental safety in the face of ever-increasing transport by sea. The article characterizes both the background of the problem, basic diagnostic medics used in ballast water management, as well as procedures and basic techniques used to ensure the safety of the natural environment..

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Challenges in Developing a Knowledge Management Strategy for the Air Force Material Command

Cases on Information Technology Series - Case Studies in Knowledge Management ◽

10.4018/978-1-59140-351-7.ch007 ◽

2005 ◽

pp. 104-129 ◽

Cited By ~ 3

Author(s):

Summer E. Bartczak ◽

Ellen C. England

Keyword(s):

Knowledge Management ◽

Air Force ◽

Management Strategy ◽

Strategy Development ◽

Knowledge Management Strategy ◽

Km Strategy ◽

Leadership Support ◽

The Face ◽

History Of

It is widely acknowledged that an organizational knowledge management strategy is a desired precursor to the development of specific knowledge management (KM) initiatives. The development of such a strategy is often difficult in the face of a lack of organizational understanding about KM and other organizational constraints. This case study describes the issues involved in developing a new KM strategy for the Air Force Material Command (AFMC). It centers around the AFMC KM program manager, Randy Adkins, and his challenges in developing the future KM strategy direction for the AFMC enterprise. The case study begins with a description of the history of the AFMC KM program and the existing KM system, but then focuses primarily on issues to be considered in future strategy development, such as maintaining top leadership support and understanding, conflict with the IT organization, funding cuts, future KM system configuration needs, and outsourcing of KM. The intent of this case study is to demonstrate, using Randy Adkins and AFMC as an example, many common issues that can be encountered as leaders struggle to develop viable KM strategies.

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Challenges in Developing a Knowledge Management Strategy for the Air Force Material Command

Knowledge Management ◽

10.4018/978-1-59904-933-5.ch199 ◽

2011 ◽

pp. 2397-2422

Author(s):

Summer E. Bartczak ◽

Ellen C. England

Keyword(s):

Knowledge Management ◽

Air Force ◽

Management Strategy ◽

Strategy Development ◽

Knowledge Management Strategy ◽

Km Strategy ◽

Leadership Support ◽

The Face ◽

History Of

It is widely acknowledged that an organizational knowledge management strategy is a desired precursor to the development of specific knowledge management (KM) initiatives. The development of such a strategy is often difficult in the face of a lack of organizational understanding about KM and other organizational constraints. This case study describes the issues involved in developing a new KM strategy for the Air Force Material Command (AFMC). It centers around the AFMC KM program manager, Randy Adkins, and his challenges in developing the future KM strategy direction for the AFMC enterprise. The case study begins with a description of the history of the AFMC KM program and the existing KM system, but then focuses primarily on issues to be considered in future strategy development, such as maintaining top leadership support and understanding, conflict with the IT organization, funding cuts, future KM system configuration needs, and outsourcing of KM. The intent of this case study is to demonstrate, using Randy Adkins and AFMC as an example, many common issues that can be encountered as leaders struggle to develop viable KM strategies.

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Challenges in Developing a Knowledge Management Strategy for the Air Force Materiel Command

Knowledge Management and Business Strategies ◽

10.4018/978-1-59904-486-6.ch015 ◽

2011 ◽

pp. 314-340

Author(s):

Summer E. Bartczak ◽

Ellen C. England

Keyword(s):

Knowledge Management ◽

Air Force ◽

Management Strategy ◽

Strategy Development ◽

Knowledge Management Strategy ◽

Km Strategy ◽

Leadership Support ◽

The Face ◽

History Of

It is widely acknowledged that an organizational knowledge management strategy is a desired precursor to the development of specific knowledge management (KM) initiatives. The development of such a strategy is often difficult in the face of a lack of organizational understanding about KM and other organizational constraints. This case study describes the issues involved in developing a new KM strategy for the Air Force Material Command (AFMC). It centers around the AFMC KM program manager, Randy Adkins, and his challenges in developing the future KM strategy direction for the AFMC enterprise. The case study begins with a description of the history of the AFMC KM program and the existing KM system, but then focuses primarily on issues to be considered in future strategy development, such as maintaining top leadership support and understanding, conflict with the IT organization, funding cuts, future KM system configuration needs, and outsourcing of KM. The intent of this case study is to demonstrate, using Randy Adkins and AFMC as an example, many common issues that can be encountered as leaders struggle to develop viable KM strategies.

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Monitoring Hydrometeorological Droughts Using a Simplified Precipitation Index

Climate ◽

10.3390/cli8020019 ◽

2020 ◽

Vol 8 (2) ◽

pp. 19 ◽

Cited By ~ 2

Author(s):

Abdullah A. Alsumaiei

Keyword(s):

Water Management ◽

Precipitation Index ◽

Drought Severity ◽

Data Normalization ◽

Precipitation Data ◽

Hydrological Data ◽

Groundwater Drought ◽

Management Plans ◽

Water Management Plans ◽

The Impact

Efficient water management plans should rely on quantitative metrics for assessing water resource shortage scenarios. This study develops a simplified precipitation index (PI) requiring precipitation data only in order to assess hydrometeorological droughts affecting various hydrological systems. The PI index is inspired by the famous Standardized Precipitation Index (SPI), and it aims to provide the same indication for drought severity and duration while overcoming the disadvantage of needing hydrological data normalization. Avoiding hydrological data normalization overcomes the non-satisfactory results of this procedure that were reported in previous studies. Analysis of groundwater drought drivers in the arid region of Kuwait is presented to test the index applicability at timescales 12 and 24 months using available historical precipitation data from 1958 to 2017. A bivariate joint probability analysis was conducted by Clayton copula to assess the occurrence of certain drought severities and durations. The results showed that PI is comparable to the original SPI and provides drought severity linearly propagating with respect to time. This index constitutes a simple means to help water managers assess and describe the impact of droughts in precipitation-controlled systems and establish appropriate water management plans.

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An automatic precipitation-phase distinction algorithm for optical disdrometer data over the global ocean

Atmospheric Measurement Techniques ◽

10.5194/amt-9-1637-2016 ◽

2016 ◽

Vol 9 (4) ◽

pp. 1637-1652 ◽

Cited By ~ 8

Author(s):

Jörg Burdanowitz ◽

Christian Klepp ◽

Stephan Bakan

Keyword(s):

Mixed Phase ◽

Global Ocean ◽

Human Observer ◽

Precipitation Data ◽

Post Processing ◽

Atmospheric Measurements ◽

Data Set ◽

Surface Precipitation ◽

Precipitation Phase

Abstract. The lack of high-quality in situ surface precipitation data over the global ocean so far limits the capability to validate satellite precipitation retrievals. The first systematic ship-based surface precipitation data set OceanRAIN (Ocean Rainfall And Ice-phase precipitation measurement Network) aims at providing a comprehensive statistical basis of in situ precipitation reference data from optical disdrometers at 1 min resolution deployed on various research vessels (RVs). Deriving the precipitation rate for rain and snow requires a priori knowledge of the precipitation phase (PP). Therefore, we present an automatic PP distinction algorithm using available data based on more than 4 years of atmospheric measurements onboard RV Polarstern that covers all climatic regions of the Atlantic Ocean. A time-consuming manual PP distinction within the OceanRAIN post-processing serves as reference, mainly based on 3-hourly present weather information from a human observer. For automation, we find that the combination of air temperature, relative humidity, and 99th percentile of the particle diameter predicts best the PP with respect to the manually determined PP. Excluding mixed phase, this variable combination reaches an accuracy of 91 % when compared to the manually determined PP for 149 635 min of precipitation from RV Polarstern. Including mixed phase (165 632 min), an accuracy of 81.2 % is reached for two independent PP distributions with a slight snow overprediction bias of 0.93. Using two independent PP distributions represents a new method that outperforms the conventional method of using only one PP distribution to statistically derive the PP. The new statistical automatic PP distinction method considerably speeds up the data post-processing within OceanRAIN while introducing an objective PP probability for each PP at 1 min resolution.

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