1.1. Background
The Global Energy and Water Cycle Experiment (GEWEX) Continental-scale International Project (GCIP) was established to improve scientific understanding and to model on a continental scale the coupling between the atmosphere and the land surface for climate prediction purposes. Predicting variations in the earth's climate requires improved understanding of interaction between the atmosphere and land surface. Generally, the sensitivity of the earth's climate is determined by the energetic processes of the "fast climate system". The fast climate processes are manifested by clouds, insolation, precipitation, soil characteristics (moisture), vegetation, state of water resources, and the coupling processes between land surface moisture in (1) the partitioning of energy flux between latent and sensible heat, (2) interpreting precipitation variability; and (3) providing knowledge on infiltration and runoff, and its impact on energy and water budgets. The GCIP activities are focused on the Mississippi River basin (see Figure 1-1) to take advantage of the existing meteorological and hydrological networks that are being upgraded with new Doppler radars, wind profilers, and automatic weather stations. The operational or enhanced observing period (EOP) of GCIP began in October 1995 and is planned to continue for five years.
Figure 1-1 The Mississippi River basin, the focus of GCIP
activities.
GCIP became a member of the GEWEX Hydrometeorology Panel (GHP) when it was
formed in 1995. The GHP is the principal group within GEWEX for considering scientific
issues associated with water cycle processes involved in the coupling of the atmosphere and
the land surface, including the distribution of water and potential impacts on water resources.
The main task of the GHP is to improve the collective contribution of the GEWEX
Continental Scale Experiments (CSEs) and ensuring their regional results contribute to
improvements in global scale prediction models. The CSEs , in addition to GCIP, consist of
the Baltic Sea Experiment (BALTEX), the GEWEX Asian Monsoon Experiment (GAME), the
Large-scale Biosphere-Atmosphere experiment in Amazonia (LBA), and the Mackenzie River
Basin GEWEX Study (MAGS). The premise of the GHP is that the prediction of regional
precipitation and runoff anomalies over period of several months is a possibility with
improved understanding of water cycle processes. In this regard, the GHP is working toward
the following scientific milestones:
1.2 Scientific Questions and Objectives
The GCIP Science Plan (WMO 1992)
poses four principal questions that need to be
addressed in order to advance the scientific research community's knowledge of the
hydrological and energy cycles involved in the complex interactions between land,
atmosphere, and ocean for a major river basin. These are:
To address these four principal questions and others detailed in the GCIP Science Plan, the
following objectives have been defined:
The long-term objective of GCIP is:
"To demonstrate skill in predicting changes in water resources on time scales up to
seasonal, annual, and interannual as an integral part of the climate prediction system."
A rewriting of the GCIP Objectives by the NAS/NRC Gewex Panel in 1996
contributed to more focus of the GCIP research activities and near-term plans
(IGPO 1996a):
1) Determine and explain the annual, interannual and spatial variability of the
water and energy cycles within the Mississippi River basin.
2) Develop and evaluate coupled hydrologic/atmospheric models at resolutions
appropriate to large-scale continental basins.
3) Develop and evaluate atmospheric, land, and coupled data assimilation schemes
that incorporate both remote and in-situ observations.
4) Improve the utility of hydrologic predictions for water resources management
up to seasonal and interannual time scales.
5) Provide access to comprehensive in-situ, remote sensing and model output data
sets for use in GCIP research and as a benchmark for future studies.
1.3 Project Implementation
The GCIP Implementation Plan, comprising three volumes, was completed in 1993
and 1994. Volume I of the GCIP Implementation Plan (IGPO
1993) is the overall planning
document for the Project. It addresses the organizational framework for GCIP, the
observational and database needs, and the upgrades to be made to existing operational
analysis and prediction streams that produce routine four-dimensional data assimilation
(4DDA) analyses for the GCIP and global domains. Volume II (
IGPO 1994a) examines the
elements of a GCIP research program needed to assist the research community in addressing
the specific scientific questions in the GCIP Science Plan. The overall plans for data
management through the duration of the GCIP Project are described in Volume III of the
GCIP Implementation Plan (IGPO 1994b).
GCIP is making use of existing operational and research programs to meet the
research objectives. An important example is the U.S. Department of Energy, Atmospheric
Radiation Measurement (ARM) Program, whose data from the Clouds and Radiation Testbed
(CART) site are being made available to the GCIP effort. Opportunities for cooperation are
being exploited with projects being formulated under other streams related to World Climate
Research Programme (WCRP), such as the Climate Variations (CLIVAR) and the Global
Ocean Atmosphere Land Surface (GOALS) Program. For example, the Pan American
Climate Studies (PACS) project is being formed as a U.S. contribution to CLIVAR/GOALS
to conduct research on the role of large-scale forcing from the tropics on continental
precipitation in the Americas. A more complete description of collaborative research activities
is given in Section 8.
1.3.1 Research Approach
GCIP research involves a systematic multiscale approach to accommodate physical
process studies, model development, data assimilation, diagnostics, and validation topics.
Such a multiscale developmental framework for the GCIP effort has three attributes:
(1) Support for a hierarchy of scales for observational work, algorithm and
model development, and validation and diagnostic studies leading to a
continental-scale capability.
(2) Capacity for sequential expansion to support the evolution of research
themes (e.g., initial emphasis on hydrological implications of warm-season convective
precipitation, moving next to issues related to midlatitude cold-season hydrology).
(3) Flexibility to develop methods and algorithms that can be applied in
data-sparse areas of the globe outside the Mississippi River basin.
The understanding and modeling of a continental scale require, from the outset,
consideration of nonlinear-scale interactions in the aggregation of smaller processes to the
larger scale and vice versa. Progress in this area requires that methodologies be developed to
represent the coupling of processes that are important in one medium (e.g., the atmosphere) to
those that are important in another (e.g., the land surface). These techniques must be suitable
at the resolution of operational prediction and general circulation models (GCM) (about 10 to
100 km) and hence must be capable of representing in aggregate the effects of high levels of
heterogeneity in the underlying ground surface (WMO 1992).
Accordingly, the GCIP research approach addresses activities on four scales
(IGPO 1994a):
Continental-scale area (CSA) activities that span the entire domain
of the Mississippi River basin with a scale size of about 3.2 x 106 km2.
Large-scale area (LSA) activities that occur in a phased timetable and emphasize a
particular region with special characteristics for a period of about two years. Scale
size is about 105 to 106 km2. Four LSAs have been identified that
in aggregate cover most of the GCIP domain, as shown in Figure 1- 2.
The time phasing of activities within each of these areas is also shown in the figure.
Intermediate-scale area (ISA) activities that will be phased in with those for the
LSAs and will serve as the basis for the regionalization of the parameters and
coefficients of land surface hydrological models. Scale size is about 103 to 104 km2.
Small-scale area (SSA) activities that typically occur in association with efforts
requiring intensive observing periods (IOP) over a concentrated region to study a
focused set of issues. Scale size is less than 102 km2.
Figure 1-2 Boundaries for LSAs and temporal emphasis for each LSA
from 1994 through 2000.
The analyses and diagnostic studies conducted on the CSA, LSA, and ISA scales will
derive their data primarily from existing sources, with augmentation of some observing
systems as required. A major element of the rationale for carrying out the GCIP effort in the
Mississippi River basin is the potential for full utilization of a number of observing systems
(e.g., wind profiles and Doppler radars) not available to the same extent anywhere else in the
world. In a number of LSAs, data from the existing synoptic and climatological networks
operated by the National Weather Service can be augmented by data from relatively dense
climatological networks established and operated by other Federal agencies and state organizations.
To the extent possible, the SSAs are being collocated with existing research basins, for
example, the Little Washita Experimental Watershed in Oklahoma operated by the U.S.
Department of Agriculture. The analyses, diagnostic studies, and model development on the
SSA scale are being derived from operational data sources (augmented as necessary), existing
research instrument complexes, and specially designed field programs of limited duration.
1.3.2 Continental Domain Synthesis
A fundamental thrust of the GCIP implementation strategy is that although the
developmental activities are being initiated in limited regions, they lead toward an integrated
continental-scale capability. Full continental domain studies have been important in GCIP
from the beginning of the EOP in 1995. Retrospective analyses and baseline studies of water
and energy balance have been the main focus of the research activities. In fact, as the EOP
proceeds, the GCIP-derived budgets based on regional mesoscale models are superior in
accuracy to budget estimates from other sources. These diagnostic studies will also be
valuable for validating hydrological aspects of climate model simulations and understanding
planetary-scale influences on North American hydrology.
1.4 Accomplishments to Date
The completion of the GCIP Science Plan in early 1992 heralded the beginning of a
number of major activities in GCIP that have progressed steadily over the past five years.
Some of the key accomplishments during this period are summarized in the remainder of this
section within the scientific/technical implementation framework as outlined in the following section.
1.4.1 Scientific/Technical Implementation Framework
The two pivotal components of GCIP are (1) the development of a comprehensive
observational database for the Mississippi River basin that will be available for GCIP
analyses, and (2) the establishment of an evolving program of model development that will
permit the observations to be extended spatially within GCIP or applied globally with new
observations. A series of planned and ad hoc research and technical activities addressing
observing systems, algorithm development, quality assurance issues, and water and energy
budget studies link these pivotal components, as shown in Figure 1-3
(WMO 1992).
Figure 1-3 Strategy framework for implementing GCIP.
With the interest in climate as a science over the past decade or so, computer models
of the earth/atmosphere system have taken place along two separate paths. Many of the
improvements in global models for weather prediction have occurred in, or in close
cooperation with, the major operational analysis centers such as the U.S. National Center for
Environmental Prediction (NCEP) and the European Centre for Medium Range Weather
Forecasts (ECMWF). Developments in global climate models, which have their origins in the
global weather models, have generally occurred in the U.S. in large research establishments
such as the NOAA/Geophysical Fluid Dynamics Laboratory (GFDL), the NASA Goddard
Space Flight Center (GSFC) and the National Center for Atmospheric Research (NCAR). In
the early development of strategies for implementing GCIP, it was recognized that it would
be necessary to draw on the strengths offered by both of these paths. A further key strategy
that was adopted early in GCIP was the need to fully exploit the high resolution, limited area
models that were being applied to regional weather prediction tasks through various nesting
procedures in the global models.
The GCIP research activities got underway in 1993 with primary support from NOAA.
The results of these early research studies in data analysis, model development, diagnostics
of model output, and observing system enhancements were published in a special issue of the
Journal of Geophysical Research Volume 101, Number D3, March 20, 1996.
1.4.2 Research Path Achievements
During the past two years the research emphasis has been on warm season processes
using data from the Arkansas-Red River basin in the southwestern part of the Mississippi
river basin. Cold season processes using data from the Upper Mississippi River basin are
being added. More than 100 papers have already been published in scientific journals. These
research activities, although initiated in limited regions, are leading toward an integrated
continental-scale capability.
1.4.3 Achievements in the Operational Centers
Since the approaches being taken by the principal operational analysis centers (e.g., the
U.S. National Centers for Environmental Prediction [NCEP], the Canadian Meteorological
Centre [CMC] and the ECMWF) are different, it is important that GCIP researchers have
access to data from more than one assimilation scheme. The NCEP Eta Model and the
NOAA Forecast Systems Laboratory MAPS Model are both high resolution nested regional
models, the ECMWF and NCEP operate global models at coarser resolution while the CMC
uses a variable grid approach with the Global Environmental Multiscale (GEM) Model .
Further details on the achievements and near-term plans for improvements to the regional
models are given in Section 2.
The regional model output data are being made available to
GCIP researchers with special efforts being made to archive the output from the regional
mesoscale at a central location as described in Appendix B.
1.4.4 Database Development
The GCIP Science Plan (WMO 1992)
recognized that the building of a database for
GCIP scientists would be a major undertaking and that the amount and different types of data
needed for GCIP studies would require an efficient data collection and management strategy.
The accomplishments to date in database development are in the areas of Pre-EOP
data collection, compilation of several initial data sets, and the implementation of a distributed
data management and service system.
1.4.5 Data Management and Service System
The responsibilities of the GCIP Data Management and Service System (DMSS) are to
provide data services to GCIP investigators, adapt to the evolving data requirements, and
compile the information on a five-year consolidated data set at the completion of the EOP.
Carrying out these responsibilities involves an implementation approach with evolutionary
improvements during the different stages of GCIP. The DMSS implementation strategy
makes maximum use of existing data centers to minimize the lead time and expense required
for development. These existing data centers are made an integral part of the GCIP-DMSS
through four data source modules that specialize by data types (i.e., in situ, model output,
satellite remote sensing, and GCIP special data) The primary responsibilities for the data
source modules along with their major functions and activities were described in Volume III
of the GCIP Implementation Plan (IGPO 1994b).
Further details on data collection and management are given in
Section 9.
1.5 Role and Structure of GCIP Major Activities Plan
The purpose of the Major Activities Plan is to project a description of GCIP research
and associated activities over the next two to three years to preclude the need for frequent
revisions to the three volumes of the GCIP Implementation Plan. The initial version of the
Major Activities Plan covered the two-year period of 1995 and 1996 with an outlook for 1997
(IGPO 1994c) and was updated in
each of the last two years (IGPO 1995;
IGPO 1996a).
The description of planned activities is based on what should be done in an orderly
progression toward the end objectives of GCIP and with a realistic assumption about the
resources that will be available to do it. Adjustments are made the following year, as
appropriate, to rationalize the plans with the actual resources. The adjustments are used as a
starting point for projections in the following year's update.
This update of the Major Activities Plan covers the water years of 1998, 1999 and
outlook for 2000. It was shown in Figure 1-2
that during this period there will be an
emphasis on the four LSAs for two or more years. . Since activities are planned for each of
the four LSAs, this will spread out the descriptions pertaining to specific objectives. Activities
focused on the four science objectives are described in Sections 2 to 5. A number of
variables were deemed critical to the success of GCIP and were designated as Principal
Research Areas for GCIP. These include precipitation, soil moisture, land surface
characteristics, and, clouds and radiation. The research activities for each of these critical
variables are described in section 6.
A summary of the research activities planned for each
of the four LSAs and the CSA is given in section 7.
The increasing importance of the
collaborative research activities is described in section 8.
The activities related to the data
management objective are described in Sections 9 and 10 of this Plan.
1.6 GCIP after the Year 2000
The implementation planning for GCIP extends through the year 2000, as noted in
Figure 1-2.
A major phase of GCIP is the five-year Enhanced Observing Period that started
on 1 October 1995 and is scheduled to be completed on 30 September 2000. This initiative is
providing a comprehensive observational and model output database needed for GCIP
research and as a benchmark for future studies.
GCIP has made tremendous strides in several of its science objectives during the past
five years while others, such as the water resources objective, have not yet started. In
addition a number of areas have evolved or started since the Implementation Plan was written
in 1993 and 1994. Among those which could most affect GCIP plans after the year 2000 are:
1) GCIP and the Pan American Climate Studies(PACS) projects recently developed a
prospectus as an initial step toward an integrated study of warm season predictability of
precipitation and temperature over North America. It is predicated on the hypothesis that
there is a deterministic element in the year-to-year variability of summertime precipitation and
temperature over North America. The GCIP/PACS studies will address three major objectives:
i. Describe, explain and model the North American summer climate regime and
its associated hydrologic cycle in the context of the evolving land surface-atmosphere-ocean annual cycle.
ii. Describe, explain and model North American warm season precipitation and
temperature variability with emphasis on seasonal and interannual time scales.
iii. Describe, explain and model the spatial variability of summertime precipitation
over North America on mesoscale to continental scale.
2) The CLIVAR Implementation Plan identifies GEWEX as the primary source of
analyses and modeling of land surface processes as a contribution to global climate modeling.
It is clear that the five Continental Scale Experiments (BALTEX, GAME, GCIP, LBA and
MAGS), as part of the Gewex Hydrometeorology Panel, will need to play a strong role in this
GEWEX contribution to CLIVAR. GCIP needs to develop its strategy for contributing to the
overall program for the GEWEX Hydrometeorological Panel. In addition to the GEWEX
contribution to CLIVAR, the Gewex Hydrometeorology Panel has set its own strategic
objective:
By the year 2005 predict changes in water resources and soil moisture on
time scales of seasonal to annual as an element of the World Climate
Research Program's goals for the climate system.
3) The results of the research during the past five years, especially the successes with
the mesoscale NWP models show that GCIP can now increase the time scale for predictions
and should focus on developing an initial version of a coupled hydrologic/atmospheric climate
model. Also, GCIP needs to increase the priority of its efforts in water resources applications
to provide a contribution to the strategic objective for the GEWEX Hydrometeorology Panel.
It can be seen from the brief summary given above that the environment for GCIP
research has changed significantly over the past five years since the GCIP Implementation
Plan was written. Some changes were foreseen while others were not and the Preface to
Volume I (IGPO 1993)
states -- " These volumes of the implementation plan will evolve
during the course of the project and each will be updated as required". It is apparent that
some form of updating should be done to accommodate the knowledge gained during the past
five years. It is considered that GCIP could benefit most from the updating of Volume II -
RESEARCH- portion of the GCIP Implementation Plan. A proposal for a post-2000
implementation strategy as a first step in this process is given in
Appendix A. It is also
intended to provide a framework for updating the GCIP Major Activities Plan for the period
1998, 1999 and Outlook for 2000.